65 citations · 65 across the 2 of their papers we have counts for
3 papers
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…
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…
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…