scholarly journals A Novel Bio-Inspired Method for Early Diagnosis of Breast Cancer through Mammographic Image Analysis

2019 ◽  
Vol 9 (21) ◽  
pp. 4492 ◽  
Author(s):  
González-Patiño ◽  
Villuendas-Rey ◽  
Argüelles-Cruz ◽  
Karray
Keyword(s):  
Breast Cancer ◽  
Direct Relationship ◽  
Current Problem ◽  
Optimization Problems ◽  
Index Function ◽  
Mammographic Images ◽  
Lower Error Rate ◽  
Otsu Method ◽  
Optimization Function ◽  
A Current

Breast cancer is a current problem that causes the death of many women. In this work, we test meta-heuristics applied to the segmentation of mammographic images. Traditionally, the application of these algorithms has a direct relationship with optimization problems; however, in this study, its implementation is oriented to the segmentation of mammograms using the Dunn index as an optimization function, and the grey levels to represent each individual. The update of grey levels during the process results in the maximization of the Dunn’s index function; the higher the index, the better the segmentation will be. The results showed a lower error rate using these meta-heuristics for segmentation compared to a well-adopted classical approach known as the Otsu method.

scholarly journals FRI0431 PROFILE OF INFECTIOUS SPONDYLODISCITIS ACCORDING TO THE SITE: UNIFOCAL VERSUS MULTIFOCAL

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 814.3-814
Author(s):  
A. Ben Tekaya ◽  
L. Ben Ammar ◽  
M. Ben Hammamia ◽  
O. Saidane ◽  
S. Bouden ◽  
...  
Keyword(s):  
Current Problem ◽  
Common Factor ◽  
Cord Compression ◽  
Posterior Arch ◽  
Significant Difference ◽  
Infectious Spondylodiscitis ◽  
Vertebral Biopsy ◽  
Inflammatory Syndrome ◽  
Different Levels ◽  
A Current

Background:Infectious spondylodiscitis is a therapeutic emergency and is a current problem. It can affect the different levels of the spine. Multifocal forms, touching several floors, however remain rare.Objectives:To compare the clinical, biological, radiological and therapeutic aspects of unifocal versus multifocal spondylodiscitis.Methods:This is a retrospective study of 113 patients admitted to our service over a period of 20 years [1998-2018]. The diagnosis of spondylodiscitis was made on the basis of clinical, biological, radiological and bacteriological data. We have divided our population into two groups: unifocal and multifocal spondylodiscitis.Results:Spondylodiscitis was more frequently unifocal (75.2%) than multifocal (24.8%). The average age of the patients was 55.8 years. There were 62 men and 51 women. There was no difference in age and sex between the two groups (p=0.5 and p=0.8, respectively).Diabetes was more frequent in the group of multifocal spondylodiscitis but with no statistically significant difference (p=0.4). No statistically significant difference between the two groups regarding the start mode (p=0.7), the schedule (p=0.3), the presence of neurological signs (p=0.7), fever (p = 0.2), impaired general condition (p=0.6) and biological inflammatory syndrome (p=0.6).Cervical and dorsal spine involvement was more common in multifocal spondylodiscitis (p = 0.02 and p = 0.01; respectively). There were 11 spondylodiscitis involving 2 floors (cervical and dorsal: 2 cases, cervical and lumbar: 3 cases, dorsal and lumbar: 6 cases) and 3 spondylodiscitis involving 3 floors.Radiologically, the presence of vertebral fracture and involvement of the posterior arch was more frequent during the multifocal form (p=0.03 and p=0.001; respectively). The frequency of para-vertebral abscesses, epiduritis and the presence of spinal cord compression were similar in the two groups (p=0.6; p=0.7 and p=0.2, respectively).Tuberculosis was more frequent during the multifocal form (p = 0.05) and brucellosis during the unifocal form (p = 0.03). Disco-vertebral biopsy was performed in 79 cases. It was more often contributory during multifocal spondylodiscitis (p = 0.03).The occurrence of immediate complications was more frequent in multifocal spondylodiscitis but with no statistically significant difference (p=0.2).Conclusion:Multifocal sppondylodiscitis is seen mainly in immunocompromised subjects. Our study found that diabetes is the most common factor in immunosuppression. Note also the predominance of involvement of the posterior elements, tuberculous origin and immediate complications.Disclosure of Interests:None declared

A current and comprehensive review of cyclin-dependent kinase inhibitors for the treatment of metastatic breast cancer

2017 ◽  
Vol 33 (9) ◽  
pp. 1559-1569 ◽  
Author(s):  
Burak Bilgin ◽  
Mehmet A.N. Sendur ◽  
Didem Şener Dede ◽  
Muhammed Bülent Akıncı ◽  
Bülent Yalçın
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Kinase Inhibitors ◽  
Metastatic Breast ◽  
Cyclin Dependent Kinase ◽  
Comprehensive Review ◽  
A Current

scholarly journals Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques

2021 ◽  
Author(s):  
Loay Hassan ◽  
Mohamed Abedl-Nasser ◽  
Adel Saleh ◽  
Domenec Puig
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Breast Lesion ◽  
Data Augmentation ◽  
Digital Breast Tomosynthesis ◽  
Lesion Detection ◽  
Detection Methods ◽  
Breast Tomosynthesis ◽  
Mammographic Images ◽  
Augmentation Techniques

Digital breast tomosynthesis (DBT) is one of the powerful breast cancer screening technologies. DBT can improve the ability of radiologists to detect breast cancer, especially in the case of dense breasts, where it beats mammography. Although many automated methods were proposed to detect breast lesions in mammographic images, very few methods were proposed for DBT due to the unavailability of enough annotated DBT images for training object detectors. In this paper, we present fully automated deep-learning breast lesion detection methods. Specifically, we study the effectiveness of two data augmentation techniques (channel replication and channel-concatenation) with five state-of-the-art deep learning detection models. Our preliminary results on a challenging publically available DBT dataset showed that the channel-concatenation data augmentation technique can significantly improve the breast lesion detection results for deep learning-based breast lesion detectors.

scholarly journals Innovative tourism product as a factor in the development of the tourism industry

2020 ◽  
Vol 11 (2) ◽  
pp. 33-40
Author(s):  
I. Kudinova ◽  
Keyword(s):  
Foreign Investment ◽  
Current Problem ◽  
Tourism Industry ◽  
Tourist Industry ◽  
Tourism Product ◽  
Marketing Service ◽  
Favorable Conditions ◽  
Further Development ◽  
A Current ◽  
Trend Direction

The research of the conformation and development of innovative tourist products is a current problem today. The article summarized and systematized the innovative features of the tourist product in order to build the tourist industry and increase the competitiveness of the tourist industry. It stated that innovation is a necessary process in creating a new attractive tourist product, also in creating сonducive conditions for intensifying the activity of investors in the tourist sphere of the country. The following types of innovations in the tourist industry are listed, namely: product, technological, marketing, service, organizational and management innovations and innovations of logistics. The competitive strengths which should be the basis of formation of competitiveness of Ukraine in the field of tourist business, are highlighted, namely: unique healing climate, numerous territories with therapeutic opportunities, considerable historical and cultural potential, attractiveness of our country's tourist industry for foreign investment. Also defined are the problematic directions regarding the tourist attractiveness of Ukraine. Emphasis is placed on the fact that the state should support the development of tourist business in Ukraine in accordance with the following principles: to provide financing in accordance with the needs of the industry, to create favorable conditions for its further development, to determine and maintain priority directions of the development of the industry, to support and protect the Ukrainian and foreign tourists, tour operators and agents and their associations. The popular and new innovative directions of tourist, trends and technologies that are currently in demand with tourists are identified. Each tourist trend direction is described. The main requirements are listed and proposals are made to create an innovative tourist product.

scholarly journals Diagnostic search algorithm for IgE-independent allergic rhinitis

2020 ◽  
Vol 19 (2) ◽  
pp. 69-73
Author(s):  
R. A. Trigubenko ◽  
◽  
E. G. Portenko ◽  
Keyword(s):  
Allergic Rhinitis ◽  
Current Problem ◽  
Search Algorithm ◽  
Eosinophilic Inflammation ◽  
Igg Antibodies ◽  
Secondary Immunodeficiency ◽  
Characteristic Features ◽  
Methods Of Treatment ◽  
Bacterial Superinfection ◽  
A Current

Allergic rhinitis is a widespread disease located at the junction of two specialties: otorhinolaryngology and allergology. Currently, it is characterized by an early onset, often continuously recurring course and refractory to traditional methods of treatment. Unstable remissions, a tendency to complications, and the lack of effectiveness of the therapy suggest that allergic rhinitis occurs against the background of secondary immunodeficiency, a favorable factor for the development of bacterial superinfection on the damaged mucous membrane of the nasal cavity. In conditions of impaired immune homeostasis, the microbial landscape of the nasal mucosa is characterized by polymorphism, bacterial agents can act as an infectious antigen. The article is devoted to a current problem – chronic IgE-independent allergic rhinitis due to allergen-specific lymphocytes or IgG antibodies with the formation of immune complexes. The article reveals the content of the concept of “chronic infectious-dependent allergic rhinitis”, its characteristic features are highlighted and described, the key stages of diagnosis are considered. The importance of knowledge about mediators of chronic eosinophilic inflammation for practitioners is reflected. The work is interdisciplinary in nature, written at the intersection of otorhinolaryngology, allergology and immunology and will be interesting to doctors of various specialties.

scholarly journals Legislation regarding social protection of children and youth in Sweden with particular emphasis on protection from abuse and neglect

Temida ◽  
2003 ◽  
Vol 6 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Slobodan Savic ◽  
Djordje Alempijevic
Keyword(s):  
Social Protection ◽  
Social Care ◽  
Current Problem ◽  
Children And Youth ◽  
Vulnerable Groups ◽  
Psychological Consequences ◽  
Abuse And Neglect ◽  
Professional Contact ◽  
A Current ◽  
Consequences Of Violence

Protection of children from abuse and neglect is a current problem in the world. The consequences of violence against children are very important because they can leave behind permanent bodily injuries up to severe invalidity, as well as psychological consequences which very often lead to transmission of violence into next generations. In most extreme cases death occurs as a consequence of abuse and neglect. In this paper authors present legislation which regulate social protection of children and youth in Sweden, with special emphasis on protection from abuse and neglect. Sweden is a country in which social care of most vulnerable groups including children, was always at the top of priorities. Authors made comparative analysis of Swedish and domestic (Serbian) laws regarding protection of children from violence, with particular emphasis on mandatory report of these cases from professionals who are in regular professional contact with children. Authors will also put emphasis on duties of medical doctors in the system of protection of children and youth from abuse and neglect.

Robotic grasping with obstacle avoidance using octrees

2020 ◽  
Vol 25 (3) ◽  
pp. 7-12
Author(s):  
Rud V.V. ◽  
Keyword(s):  
Control Systems ◽  
Current Problem ◽  
Robot Manipulator ◽  
General Purpose ◽  
Advantages And Disadvantages ◽  
Specific Position ◽  
Recognition Of Objects ◽  
Manipulator Control ◽  
A Current

This paper considers the problems of the integration of independent manipulator control systems. Areas of control of the manipulator are: recognition of objects and obstacles, identification of objects to be grasped, determination of reliable positions by the grasping device, planning of movement of the manipulator to certain positions with avoidance of obstacles, and recognition of slipping or determination of reliable grasping. This issue is a current problem primarily in industry, general-purpose robots, and experimental robots. This paper considers current publications that address these issues. Existing algorithms and approaches have been found in the management of both parts of the robot manipulator and solutions that combine several areas, or the integration of several existing approaches. There is a brief review of current literature and publications on the above algorithms and approaches. The advantages and disadvantages of the considered methods and approaches are determined. There are solutions that cover either some areas or only one of them, which does not meet the requirements of the problem. Using existing approaches, integration points of existing implementations are identified to get the best results. In the process, a system was developed that analyzes the environment, finds obstacles, objects for interaction, poses for grasping, plans the movement of the manipulator to a specific position, and ensures reliable grasping of the object. The next step was to test the system, test the performance, and adjust the parameters for the best results. The resulting system was developed by the research team of RT-Lions, Technik University, Reutlingen. The hardware research robot includes an Intel Realsense camera, a Sawyer Arm manipulator from Rethink Robotics, and an internally grabbing device.

COVID-related anxiety is prevalent and accurately reflects serious COVID risks in breast cancer patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12053-12053
Author(s):  
Marisa C. Weiss ◽  
Stephanie Kjelstrom ◽  
Meghan Buckley ◽  
Adam Leitenberger ◽  
Melissa Jenkins ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
P Value ◽  
Breast Cancer Patients ◽  
Chi Square ◽  
Liver And Kidney ◽  
Chi Square Test ◽  
A Current

12053 Background: A current cancer diagnosis is a risk factor for serious COVID-19 complications (CDC). In addition, the pandemic has caused major disruptions in medical care and support networks, resulting in treatment delays, limited access to doctors, worsening health disparities, social isolation; and driving higher utilization of telemedicine and online resources. Breastcancer.org has experienced a sustained surge of new and repeat users seeking urgent information and support. To better understand these unmet needs, we conducted a survey of the Breastcancer.org Community. Methods: Members of the Breastcancer.org Community were invited to complete a survey on the effects of the COVID-19 pandemic on their breast cancer care, including questions on demographics, comorbidities (including lung, heart, liver and kidney disease, asthma, diabetes, obesity, and other chronic health conditions); care delays, anxiety due to COVID-related care delays, use of telemedicine, and satisfaction with care during COVID. The survey was conducted between 4/27/2020-6/1/2020 using Survey Monkey. Results were tabulated and compared by chi square test. A p-value of 0.05 is considered significant. Data were analyzed using Stata 16.0 (Stata Corp., Inc, College Station, TX). Results: Our analysis included 568 breast cancer patients of whom 44% had ≥1 other comorbidities associated with serious COVID-19 complications (per CDC) and 37% had moderate to extreme anxiety about contracting COVID. This anxiety increased with the number of comorbidities (p=0.021), age (p=0.040), and with a current breast cancer diagnosis (p=0.011) (see table). Anxiety was significantly higher in those currently diagnosed, ≥65, or with ≥3 other comorbidities, compared to those diagnosed in the past, age <44, or without other comorbidities. Conclusions: Our survey reveals that COVID-related anxiety is prevalent at any age regardless of overall health status, but it increased with the number of other comorbidities, older age, and a current breast cancer diagnosis. Thus, reported anxiety is proportional to the risk of developing serious complications from COVID. Current breast cancer patients of all ages—especially with other comorbidities—require emotional support, safe access to their providers, and prioritization for vaccination.[Table: see text]

Automatic detection of various patterns of calcification distribution on mammograms: a graph convolution network approach (Preprint)

2021 ◽  
Author(s):  
Melissa Min-Szu Yao ◽  
Hao Du ◽  
Mikael Hartman ◽  
Wing P. Chan ◽  
Mengling Feng
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Automatic Detection ◽  
Ground Truth ◽  
Architectural Distortion ◽  
Breast Cancers ◽  
Convolutional Network ◽  
Mammographic Images

UNSTRUCTURED Purpose: To develop a novel artificial intelligence (AI) model algorithm focusing on automatic detection and classification of various patterns of calcification distribution in mammographic images using a unique graph convolution approach. Materials and methods: Images from 200 patients classified as Category 4 or 5 according to the American College of Radiology Breast Imaging Reporting and Database System, which showed calcifications according to the mammographic reports and diagnosed breast cancers. The calcification distributions were classified as either diffuse, segmental, regional, grouped, or linear. Excluded were mammograms with (1) breast cancer as a single or combined characterization such as a mass, asymmetry, or architectural distortion with or without calcifications; (2) hidden calcifications that were difficult to mark; or (3) incomplete medical records. Results: A graph convolutional network-based model was developed. 401 mammographic images from 200 cases of breast cancer were divided based on calcification distribution pattern: diffuse (n = 24), regional (n = 111), group (n = 201), linear (n = 8) or segmental (n = 57). The classification performances were measured using metrics including precision, recall, F1 score, accuracy and multi-class area under receiver operating characteristic curve. The proposed achieved precision of 0.483 ± 0.015, sensitivity of 0.606 (0.030), specificity of 0.862 ± 0.018, F1 score of 0.527 ± 0.035, accuracy of 60.642% ± 3.040% and area under the curve of 0.754 ± 0.019, finding method to be superior compared to all baseline models. The predicted linear and diffuse classifications were highly similar to the ground truth, and the predicted grouped and regional classifications were also superior compared to baseline models. Conclusion: The proposed deep neural network framework is an AI solution to automatically detect and classify calcification distribution patterns on mammographic images highly suspected of showing breast cancers. Further study of the AI model in an actual clinical setting and additional data collection will improve its performance.

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