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Resolution-Based Distillation for Efficient Histology Image Classification
Developing deep learning models to analyze histology images has been com...
01/11/2021 ∙ by Joseph DiPalma, et al. ∙
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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...
10/30/2020 ∙ by Mengdan Zhu, et al. ∙
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Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Applying curriculum learning requires both a range of difficulty in data...
09/29/2020 ∙ by Jerry Wei, et al. ∙
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Difficulty Translation in Histopathology Images
The unique nature of histopathology images opens the door to domain-spec...
04/27/2020 ∙ by Jerry Wei, et al. ∙
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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...
04/14/2020 ∙ by Steven Jiang, et al. ∙
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Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
Machine learning methods have recently achieved high-performance in biom...
12/05/2019 ∙ by Xing Meng, et al. ∙
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Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities
Recently, there has been great interest in developing Artificial Intelli...
11/26/2019 ∙ by Manu Goyal, et al. ∙
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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...
11/25/2019 ∙ by Naofumi Tomita, et al. ∙
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Predicting colorectal polyp recurrence using time-to-event analysis of medical records
Identifying patient characteristics that influence the rate of colorecta...
11/18/2019 ∙ by Lia X. Harrington, et al. ∙
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Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
We present an image translation approach to generate augmented data for ...
10/13/2019 ∙ by Jerry Wei, et al. ∙
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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...
09/27/2019 ∙ by Jason W. Wei, et al. ∙
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Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Classification of histologic patterns in lung adenocarcinoma is critical...
01/31/2019 ∙ by Jason W. Wei, et al. ∙
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Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach
Celiac disease prevalence and diagnosis have increased substantially in ...
01/31/2019 ∙ by Jason W. Wei, et al. ∙
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Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images
Deep learning for classification of microscopy images is challenging bec...
11/20/2018 ∙ by Naofumi Tomita, et al. ∙
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Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images
Histopathological characterization of colorectal polyps is an important ...
03/05/2017 ∙ by Bruno Korbar, et al. ∙
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