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05/03/2023
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture
In digital pathology tasks, transformers have achieved state-of-the-art ...
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02/21/2023
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
NLP-based computer vision models, particularly vision transformers, have...
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08/22/2022
Predicting microsatellite instability and key biomarkers in colorectal cancer from H E-stained images: Achieving SOTA with Less Data using Swin Transformer
Artificial intelligence (AI) models have been developed for predicting c...
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04/24/2022
Colorectal cancer survival prediction using deep distribution based multiple-instance learning
Several deep learning algorithms have been developed to predict survival...
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11/05/2021
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
Most early-stage colorectal cancer (CRC) patients can be cured by surger...
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09/23/2020
