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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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05/31/2022
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
Deep-learning models based on whole-slide digital pathology images (WSIs...
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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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03/31/2022
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering
Deep learning has become the mainstream methodological choice for analyz...
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01/03/2022
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model
Due to lack of annotated pathological images, transfer learning has been...
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11/05/2021
