Medical Image Fusion Using Deep Learning Mechanism

Sparse representation(SR) model named convolutional sparsity based morphological component analysis is introduced for pixel-level medical image fusion. The CS-MCA model can achieve multicomponent and global SRs of source images, by integrating MCA and convolutional sparse representation(CSR) into a unified optimization framework. In the existing method, the CSRs of its gradient and texture components are obtained by the CSMCA model using pre-learned dictionaries. Then for each image component, sparse coefficients of all the source images are merged and then fused component is reconstructed using the corresponding dictionary. In the extension mechanism, we are using deep learning based pyramid decomposition. Now a days deep learning is a very demanding technology. Deep learning is used for image classification, object detection, image segmentation, image restoration. Keywords: CNN, CT, MRI, MCA, CS-MCA.

Medieval mass burial in Pereslavl-Zalessky

The paper presents the results of the anthropological study of a mass grave located in the grounds of the kremlin of Pereslavl-Zalessky (European Russia). It has been preliminary dated to the 13th — first half of the 14th century. This study is aimed at craniological investigation and establishing anthropological connections of the Medieval population of Pereslavl-Zalessky, as well as clarification of the circumstances of appearance of the mass burial within the town territory with the aid of anthropological methods. The human remains were analyzed to identify the number of individuals and to determine their sex and age. Determination of sex and age and recording of injuries were carried out on the craniological material. The craniological program was used to study 28 male and 16 female skulls. A canonical discriminant analysis was used for the intergroup analysis. The mass burial contained separated bones of 80 adults and 19 children. It was possible to identify 30 males and 24 females. The male component of the group was represented by virtually all age groups. The female part comprised mainly women aged 20–35. Therefore, the interred were placed in the grave spontaneously, considerably later after their death; the bodies had time to decompose completely. Eleven instances of skull injuries without signs of necrotic process and healing were recorded. The location and characteristics of the burial and presence of several instances of fatal lacerated wounds indicate that the city residents died in the course of a military clash. Therefore, the studied series represents a time slice of the population of the medieval city. The canonical discriminant analy-sis on the craniological series of 53 revealed that the studied series is distinct from the territorially and chronologically close series of Yaroslavl and Kostroma Krivichs. It also showed that the formation of the population of Pereslavl-Zalessky was strongly influenced by the migration of the Ilmen Slovens and Smolensk-Polotsk Krivichs. Among the specifics of the Pereslavl series, also noteworthy is the strong influence of southern Russian migrants. On the contrary, the influence of the Finno-Ugric morphological component on the urban population of the 13th–14th centuries was very insignificant.

Paradigm structure influences syntactic behaviour

In this chapter, Belyaev analyses several challenging facts of Ossetic nominal inflection that seem to challenge the traditional understanding of Lexical Sharing in LFG. In particular, case markers in Ossetic may attach to the final adjunct of coordinate phrases, even though the structure of the paradigm precludes their analyses as clitics. Moreover, the syntactic behaviour of Ossetic case forms seems to be influenced by paradigm structure: words where the genitive is suppletive and acts as an oblique stem use the genitive instead of the nominative in non-final conjuncts. Belyaev argues that these difficulties can be resolved if the architecture of LFG is extended by Lexical Sharing, which allows one word to occupy two or more syntactic heads. He proposes a formal mechanism of integrating Lexical Sharing with the morphology2013syntax interface of LFG, with Paradigm Function Morphology as the basis for the morphological component.

Morphological Component Analysis of fMRI Networks Using Sparse Dictionary Learning

IEEE TBME manuscript

Morphological Component Analysis of fMRI Networks Using Sparse Dictionary Learning

IEEE TBME manuscript

Rain Streaks Removal in digital images by Dictionary based sparsity process with MCA Estimation

During the rainy season, many public outdoor crimes have been caught through video surveillance, and they do not have complete feature information to identify the image features. Rain streak removal techniques are ideal for indexing and obtaining additional information from such images. Furthermore, the rain substantially changes the intensity of images and videos, lowering the overall image quality of vision systems in outdoor recording situations. To be successful, the elimination of rain streaks in the film will require an advanced trial and error method. Different methods have been utilized to identify and eliminate the rainy effects by using the data on photon numbers, chromaticity, and probability of rain streaks present in digital images. This research work includes sparse coding process for removing rain streak by incorporating morphological component analyses (MCA) based algorithm. Based on the MCA algorithm, the coarse estimation becomes very simple to handle the rain streak or impulsive noisy images. The sparse decomposition of coarse is possible by estimating and eliminating all redundancies from the sources. This novel MCA approach is combined with sparsity coding process to provide better PSNR and less MSE results from the reconstructed images. This method is compared with of the existing research works on rain streak removal process. Besides, the obtained the results are illustrated and tabulated.

Alteraciones en la presión plantar posterior a un protocolo de fatiga neuromuscular en máquina isoinercial

El objetivo del presente estudio fue establecer las diferencias que se presentan en la huella plantar tras aplicar un protocolo de fatiga neuromuscular. Un total de 10 deportistas varones sanos con una edad aproximada de 21 años fueron evaluados para el componente morfológico, con el equipo Tanita BC585F® (variables: kg de peso, kg de grasa, kg de músculo y kg de hueso). En el protocolo de fatiga se utilizó el equipo isoinercial Squat RSP®. Para la prueba de baropodometría, tanto en el pre-test como en el post-test, se utilizó el equipo EcoWalk. Se tomaron variables de presión R-Type® para ambos pies, como presión media, superficie de contacto, distribución anterior, posterior, lateral derecha y lateral izquierda. No se encontraron diferencias significativas en el pre y post test de la prueba de baropodometría con una p>0.05. Se encontraron correlaciones significativas entre el componente morfológico y la baropodometría con una p<0.05. The objective of the present study sought to establish the differences presented in the plantar footprint after applying a neuromuscular fatigue protocol. A total of 10 healthy male athletes with an approximate age of 21 years were evaluated for the morphological component, with the Tanita BC585F® equipment (variables: weight Kg, fat KG, muscle Kg and bone Kg). In the fatigue protocol, the isoinertial Squat RSP® equipment was used. For the baropodometry test, both in the pre-test and in the post-test, the EcoWalk equipment was used. R-Type® pressure variables were taken for both feet, such as mean pressure, contact surface, anterior, posterior, right lateral and left lateral distribution. No significant differences were found in the pre and post test of the baropodometry test with a p> 0.05. Significant correlations were found between the morphological component and the baropodometry with a p <0.05.

An Advanced Morphological Component Analysis, Steganography, and Deep Learning-Based System to Transmit Secure Textual Data

A potential to extract detailed textual image texture features is a key characteristic of the suggested approach, instead of using a single spatial texture feature. For the generation of MCs, four textured characteristics (including horizontal and vertical) are assumed in this paper that are content, coarseness, contrast, and directionality. The morphological parts of a clandestine text-based image were further segmented and then usually inserted into the least significant bit in cover pixels utilising spatial steganography. This same reverse process for steganography and MCA is conducted on the recipient side after transmission. The results demonstrate that the proposed method based on fusion of MCA and steganography provides a higher performance measure, for instance peak signal-to-noise ratio, SSIM, than the previous method.

Idiopathic Pulmonary Fibrosis in the Practice of a Therapist

Idiopathic pulmonary fibrosis (IPF) is a specific form of chronic progressive fibrosing interstitial pneumonia of unknown etiology that affects only the lungs and is associated with the histological and / or radiological pattern of common interstitial pneumonia. The clinical substrate for IPF is progressive dyspnea and dry cough. The characteristic auscultatory sign of IPF is inspiratory crepitus. Fibrosis is an important morphological component of IPF. The leading CT sign of IPF is a “honeycomb” lung (local air cysts located subpleurally and having similar sizes from 2–3 to 10 mm with clearly delineated walls). Mostly people over 60 years old are ill, often smokers, or with a history of smoking. In 60% of patients, the course of IPF is progressive, death within 5 years in 40% of cases. In 30–50% of cases, IPF requires the exclusion of other forms of interstitial lung disease. To date, it has been established that the basic drugs in the treatment of IPF with proven efficacy are nintedanib and pirfenidone. This article presents a clinical case of idiopathic pulmonary fibrosis in a 63-year-old patient who was hospitalized in the pulmonology department. The given example justifies the need for increased vigilance among pulmonologists and general practitioners when interpreting the clinical manifestations of the disease.