Article

AI based pre-screening of large bowel cancer via weakly supervised learning of colorectal biopsy histology images

2022-02-28

Abstract excerpt

Histopathological examination is a pivotal step in the diagnosis and treatment planning of many major diseases. To facilitate the diagnostic decision-making and reduce the workload of pathologists, we present an AI-based pre-screening tool capable of identifying normal and neoplastic colon biopsies. To learn the differential histological patterns from whole slides images (WSIs) stained with hematoxylin and eosin (...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 012c1893-64a0-53d5-9bcc-231e77266e62
DOI: 10.1101/2022.02.28.22271565

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AI based pre-screening of large bowel cancer via weakly supervised learning of colorectal biopsy histology imagesDOI 10.1101/2022.02.28.22271565Read

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial IntelligenceSemantic proximity Read

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal PathologySemantic proximity Read

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological imagesSemantic proximity Read

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological imagesSemantic proximity Read

Detection of Colorectal Adenocarcinoma and Grading Dysplasia on Histopathologic Slides Using Deep LearningSemantic proximity Read

Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.Semantic proximity Read

Screening of normal endoscopic large bowel biopsies with artificial intelligence: a retrospective studySemantic proximity Read

A deep learning model for the prediction of pathogenic POLE mutations and microsatellite instability in colorectal cancer from digital pathology imagesSemantic proximity Read

Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology imagesSemantic proximity Read

Utilizing Deep Neural Networks in Digital Pathology: Enhancing Accuracy and Speed in Colorectal Cancer DiagnosisSemantic proximity Read

PAI-WSIT: a Comprehensive Curated Resource for Cancerous Pathology With Deep LearningSemantic proximity Read

Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon CancerSemantic proximity Read