We explored the utility of time-resolved angiography with interleaved stochastic trajectories dynamic contrast-enhanced magnetic resonance imaging (TWIST DCE-MRI), readout segmentation of long variable echo-trains diffusion-weighted magnetic resonance imaging- diffusion-weighted magnetic resonance imaging (RESOLVE-DWI), and echo-planar imaging- diffusion-weighted magnetic resonance imaging (EPI...

BACKGROUND AND PURPOSE The accuracy of automatic tissue segmentation methods can be affected by the presence of hypointense white matter lesions during the tissue segmentation process. Our aim was to evaluate the impact of MS white matter lesions on the brain tissue measurements of 6 well-known segmentation techniques. These include straightforward techniques such as Artificial Neural Network a...

the cytology study is effective and reliable technique in intraoperative consultation. this study was performed to evaluate the accuracy of the cytology study in intraoperative consultation of the breast lesions. 125 specimens of the breast lesions were examined and studied in imam khomeini hospital during the years 1998-99. the sensitivity, specificity and accuracy for cytological method were ...

Mammography is a low-dose X-ray imaging technique that can detect breast tumors, cysts, and calcifications, which aid in detecting potential cancer the early stage reduce mortality rate. This study employed multilayer convolutional neural network (MCNN) to screen lesions with mammographic images. Within region of interest, specific bounding box used extract feature maps before automatic image s...

background: breast cancer is the most common cancer in women. screening can reduce the rate of cancer and mortality. the aim of this study is description of screening programs about breast masses with clinical and para clinical examination. methods: this is a descriptive study on 952 women who had volunteered or were referred to tabriz behbood hospital during one-year period. data was collected...

Background: Multiple Sclerosis (MS) syndrome is a type of Immune-Mediated disorder in the central nervous system (CNS) which destroys myelin sheaths, and results in plaque (lesion) formation in the brain. From the clinical point of view, investigating and monitoring information such as position, volume, number, and changes of these plaques are integral parts of the controlling process this dise...

background: the segmentation of cancerous areas in breast images is important for the early detection of disease. thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. imaging technique is the focus of this research. methods: the proposed model in this paper is a combination of surf and corners that are very resistant....

The application and comparison of U-Net convolutional neural network architectures is proposed in this work to guarantee a fast accurate convergence inverse scattering problems solved by Born iterative method, even the presence strong scatterers. Starting from preliminary configuration authors some recent papers, two variants are introduced discussed significantly reduce computational cost, whi...

Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR scans is performed for monitoring the progression MS lesions. We hypothesize that spatio-temporal cues data can aid segmentation algorithm. Therefore, we propose a multi-task learning approach by defining an auxiliary self-supervised task deformable registration between two time-points to guide neural network toward from c...