scholarly journals A novel approach based on segmentation for securing medical image processing over cloud

2018 ◽  
Vol Special Issue on Scientific... ◽  
Author(s):  
Mbarek Marwan ◽  
Ali Kartit ◽  
Hassan Ouahmane
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
High Performance ◽  
Medical Image Processing ◽  
Healthcare Sector ◽  
Medical Providers ◽  
Novel Approach ◽  
Segmentation Approach ◽  
International Audience

International audience Healthcare professionals require advanced image processing software to enhance the quality of clinical decisions. However, any investment in sophisticated local applications would dramatically increase healthcare costs. To address this issue, medical providers are interested in adopting cloud technology. In spite of its multiple advantages, outsourcing computations to an external provider arises several challenges. In fact, security is the major factor hindering the widespread acceptance of this new concept. Recently, various solutions have been suggested to fulfill healthcare demands. Though, ensuring privacy and high performance needs more improvements to meet the healthcare sector requirements. To this end, we propose a framework based on segmentation approach to secure cloud-based medical image processing in the healthcare system.

Deep Learning Applications in Medical Imaging

2021 ◽  
pp. 156-177
Author(s):  
Janani Viswanathan ◽  
N. Saranya ◽  
Abinaya Inbamani
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Deep Learning ◽  
Medical Image ◽  
Medical Image Processing ◽  
Medical Diagnostics ◽  
Healthcare Sector ◽  
Computational Techniques ◽  
Healthcare Applications ◽  
Medical Sector

Deep learning (DL) and artificial intelligence (AI) are emerging tools in the healthcare sector for medical diagnostics. This chapter elaborates on general reasons for the popularity of computational techniques such as deep learning and machine learning (ML) applications in the medical image processing domain. The initial part of this chapter focuses on reviewing the fundamental concepts of DL algorithms, competence with machine learning, need in healthcare, applications, and challenges in medical image processing. Doing so allows understanding the reasons for the construction of all of them and offers a different view on various domains in the medical sector. The tools and technology required for DL, selection, implementation, optimization, and testing are discussed with respect to an application of cancer detection. Thus, this chapter gives an overall vision of deep learning concepts related to biomedical research.

Advancement in Research Techniques on Medical Imaging Processing for Breast Cancer Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 717
Author(s):  
Sushma S J ◽  
S C Prasanna Kumar
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Medical Image ◽  
Early Stage ◽  
Medical Image Processing ◽  
Healthcare Sector ◽  
Diagnostic Tools ◽  
Success Factor ◽  
Research Activity ◽  
Effective Diagnosis

With the advancement of medical image processing, the area of the healthcare sector has started receiving the benefits of the modern arena of diagnostic tools to identify the diseases effectively. Cancer is one of the dreaded diseases, where success factor of treatment offered by medical sector is still an unsolved problem. Hence, the success factor of the treatment lies in early stage of the disease or timely detection of the disease. This paper discusses about the advancement being made in the medical image processing towards an effective diagnosis of the breast cancer from the mammogram image in radiology. There has been enough research activity with various sorts of advances techniques being implemented in the past decade. The prime contribution of this manuscript is to showcase the advancement of the technology along with illustration of the effectiveness of the existing literatures with respect to research gap.

scholarly journals Remote Access of Medical Image Processing and 3D Visualization Application using Raspberry Pi

2018 ◽  
Vol 7 (3.1) ◽  
pp. 171
Author(s):  
Sreepathy H V ◽  
Nandish S ◽  
Chaitanya CVS
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
3D Visualization ◽  
Academic Research ◽  
Medical Image Processing ◽  
Remote Access ◽  
Healthcare Sector ◽  
Raspberry Pi ◽  
Visualization Toolkit ◽  
Extensive Growth

With the extensive growth in technology, healthcare sector has benefitted a lot recently. Looking into the academic research and validation in the area of medical image processing and visualization, many platforms and the open-source resources are available. Insight toolkit (ITK) and visualization toolkit (VTK) are extensively used for medical image processing and 3D visualization respectively. Resources used to develop an application using ITK-VTK and same resources be used to deliver it to the users such as, clinicians, doctors etc. This can be achieved by using respective hardware and the infrastructure. In the proposed article, the infrastructure and resource used to build and deploy the application and remote access given to the users are elucidated.  

scholarly journals High-performance method of morphological medical image processing

2016 ◽  
pp. 54-56
Author(s):  
Maxim Sergeevich Ryabykh ◽  
◽  
Ekaterina Sergeevna Soynikova ◽  
Denis Sergeevich Batishchev ◽  
◽  
...  
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
High Performance ◽  
Medical Image Processing

scholarly journals Medical Image Processing in an Era of High-Performance Computing

1994 ◽  
Vol 03 (01) ◽  
pp. 61-68
Author(s):  
Leiguang Gong ◽  
Casimir A. Kulikowski
Keyword(s):  
Image Processing ◽  
Visual Information ◽  
Communication Systems ◽  
Medical Image ◽  
High Performance ◽  
Medical Image Processing ◽  
Gross Anatomy ◽  
Visual Knowledge ◽  
Visual Databases ◽  
Picture Archiving And Communication

AbstractAdvanced radiology practices are already benefiting from powerful and increasingly more economical computing and networking facilities. Medical image processing methods have improved dramatically over the past five years, with sophisticated 3D display, visualization and analysis techniques allowing increased integration of multiple modalities of imaging, flexible environments for imaging analysis, and P ACS (picture archiving and communication systems) for ease of transmission and retrieval. Emerging directions involve teleradiology and telesurgery virtual reality applications, the development of new image database techniques, and the building of large visual databases like that of the Visible Human Project. Challenging problems of image segmentation, registration, and multimodal image fusion are still with us. Building dynamic, flexible electronic atlases will have a profound effect on the understanding of structure and function from the level of cellular physiology to gross anatomy, but requires the development of new techniques of visual knowledge representation and more standardized ways of defining the conceptual and linguistic constructs of visual objects in biomedicine, for linkage to medical records, research results, and educational materials. Methods for reasoning with visual information in the context of multimedia information systems present an inviting challenge to the upcoming generation of researchers in medical informatics.

scholarly journals Advancement in Research Techniques on Medical Imaging Processing for Breast Cancer Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 717
Author(s):  
Sushma S J ◽  
S C Prasanna Kumar
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Medical Image ◽  
Early Stage ◽  
Medical Image Processing ◽  
Healthcare Sector ◽  
Diagnostic Tools ◽  
Success Factor ◽  
Research Activity ◽  
Effective Diagnosis

With the advancement of medical image processing, the area of the healthcare sector has started receiving the benefits of the modern arena of diagnostic tools to identify the diseases effectively. Cancer is one of the dreaded diseases, where success factor of treatment offered by medical sector is still an unsolved problem. Hence, the success factor of the treatment lies in early stage of the disease or timely detection of the disease. This paper discusses about the advancement being made in the medical image processing towards an effective diagnosis of the breast cancer from the mammogram image in radiology. There has been enough research activity with various sorts of advances techniques being implemented in the past decade. The prime contribution of this manuscript is to showcase the advancement of the technology along with illustration of the effectiveness of the existing literatures with respect to research gap.

Sign in / Sign up

Export Citation Format

Share Document