198 citations · 351 across the 25 of their papers we have counts for
12 papers · 1 filter
Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology
Amit Das, Tanmay Shukla, Naofumi Tomita +4
Grading inflammatory bowel disease (IBD) activity using standardized histopathological scoring systems remains challenging due to resource constraints and inter-observer variabilit…
Masked Pre-Training of Transformers for Histology Image Analysis
Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata +1
In digital pathology, whole slide images (WSIs) are widely used for applications such as cancer diagnosis and prognosis prediction. Visual transformer models have recently emerged…
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning
Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
Deep learning has been effective for histology image analysis in digital pathology. However, many current deep learning approaches require large, strongly- or weakly-labeled images…
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Jerry Wei, Arief Suriawinata, Bing Ren +10
Applying curriculum learning requires both a range of difficulty in data and a method for determining the difficulty of examples. In many tasks, however, satisfying these requireme…
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
Manu Goyal, Saeed Hassanpour
Diabetic Foot Ulcers (DFU) that affect the lower extremities are a major complication of diabetes. Each year, more than 1 million diabetic patients undergo amputation due to failur…
Difficulty Translation in Histopathology Images
Jerry Wei, Arief Suriawinata, Xiaoying Liu +5
The unique nature of histopathology images opens the door to domain-specific formulations of image translation models. We propose a difficulty translation model that modifies color…
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik +3
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade and treatment for patients. However, this task is often challenging due to the…
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach
Jason W. Wei, Jerry W. Wei, Christopher R. Jackson +3
Celiac disease prevalence and diagnosis have increased substantially in recent years. The current gold standard for celiac disease confirmation is visual examination of duodenal mu…
Deep Learning Methods and Applications for Region of Interest Detection in Dermoscopic Images
Manu Goyal, Moi Hoon Yap, Saeed Hassanpour
Rapid growth in the development of medical imaging analysis technology has been propelled by the great interest in improving computer-aided diagnosis and detection (CAD) systems fo…
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks
Manu Goyal, Moi Hoon Yap, Saeed Hassanpour
Melanoma is clinically difficult to distinguish from common benign skin lesions, particularly melanocytic naevus and seborrhoeic keratosis. The dermoscopic appearance of these lesi…
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images
Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor +5
Histopathological characterization of colorectal polyps is an important principle for determining the risk of colorectal cancer and future rates of surveillance for patients. This…