65 citations · 65 across the 3 of their papers we have counts for
3 papers
eess.IV2020★ 65 cited
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Kamran Kowsari, Rasoul Sali, Lubaina Ehsan +7
Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have show…
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…