As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. This repository contains a curated and enhanced version of brain ...

Coupling tumor genomics, whole transcriptome sequencing, and patient outcomes to define the tumor microenvironment in receptor tyrosine amplified gastrointestinal cancers: Analysis from 24,598 cases.

Medical image segmentation plays a vital role in diagnostic imaging, particularly for measuring brain tumor morphology in MRI scans, which directly influences treatment planning, prognosis, and ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

In recent years, the intersection of artificial intelligence (AI), deep learning, and neuroimaging has created transformative opportunities in the early diagnosis, classification, and treatment ...

Abstract: A brain tumor is the growth of abnormal cells in or around the brain. Medical imaging plays a vital role in detecting and segmenting brain tumors, which helps doctors plan appropriate ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Abstract: The existence of a brain tumor indicates an unusual growth of cells in the brain, manifesting as either benign (non-cancerous) or malignant (cancerous). Artificial Intelligence (AI) plays a ...