research
∙
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 ...
share
research
∙
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...
research
∙
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...
research
∙
05/31/2022