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01/29/2021
A Petri Dish for Histopathology Image Analysis
With the rise of deep learning, there has been increased interest in usi...
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10/30/2020
Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides
Renal cell carcinoma (RCC) is the most common renal cancer in adults. Th...
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09/29/2020
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Applying curriculum learning requires both a range of difficulty in data...
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04/27/2020
Difficulty Translation in Histopathology Images
The unique nature of histopathology images opens the door to domain-spec...
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04/14/2020
Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts
Objective: Currently, a major limitation for natural language processing...
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11/25/2019
Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network
In this paper, we demonstrate the feasibility and performance of deep re...
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09/27/2019
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation
Histological classification of colorectal polyps plays a critical role i...
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01/31/2019
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Classification of histologic patterns in lung adenocarcinoma is critical...
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11/20/2018
