3 papers
eess.IV2020
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
Rasoul Sali, Sodiq Adewole, Lubaina Ehsan +8
Deep convolutional neural networks(CNNs) have been successful for a wide range of computer vision tasks, including image classification. A specific area of the application lies in…
eess.IV2019
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks
Rasoul Sali, Lubaina Ehsan, Kamran Kowsari +4
Celiac Disease (CD) is a chronic autoimmune disease that affects the small intestine in genetically predisposed children and adults. Gluten exposure triggers an inflammatory cascad…
q-bio.QM2019
Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease
Aman Shrivastava, Karan Kant, Saurav Sengupta +8
Physicians use biopsies to distinguish between different but histologically similar enteropathies. The range of syndromes and pathologies that could cause different gastrointestina…