Researchers say ability to see for the first time previously hidden indicators of MS disease progression is an important advance.

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...

The pigeons in the study even started recognizing other health problems they weren't trained on.

Abstract: Accurate and efficient brain tumor diagnosis remains a critical challenge in medical imaging. This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep ...

NYU Langone’s Department of Radiology seeks to transform the way artificial intelligence (AI) is used in medical imaging. We are at the forefront of the development, validation, and clinical ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Abstract: The detection, segmentation, and extraction from Magnetic Resonance Imaging (MRI) images of contaminated tumor areas are significant concerns; however, a repetitive and extensive task ...

With the advancement of artificial intelligence (AI) and machine learning methods, many science and engineering challenges and problems can now be tackled and solved through new computing paradigms.

1 Department of Computer Science, Sudan Technical University, Khartoum, Sudan. 2 Faculty of Computer Science and Information Technology, Alzaiem Alazhri University, Khartoum, Sudan. 3 Applied College, ...

Currently, the second most devastating form of cancer in people, particularly in women, is Breast Cancer (BC). In the healthcare industry, Machine Learning (ML) is commonly employed in fatal disease ...