Article

Utilizing Deep Neural Networks in Digital Pathology: Enhancing Accuracy and Speed in Colorectal Cancer Diagnosis

2025-09-23

Abstract excerpt

<title>Abstract</title> <p>In the era of modern medicine, with the continuous advancement of targeted therapies, rapid and accurate diagnosis of colorectal cancer plays a pivotal role in designing personalized treatment regimens. However, traditional diagnostic methods, which rely on visual examination of tissue samples by pathologists, are not only time-consuming but also face challenges such as personnel fatigu...

Topics

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

Identifiers and source

Literature Corpus work: 61778fe4-2529-5013-9107-2491d306997c
DOI: 10.21203/rs.3.rs-7482211/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Utilizing Deep Neural Networks in Digital Pathology: Enhancing Accuracy and Speed in Colorectal Cancer DiagnosisDOI 10.21203/rs.3.rs-7482211/v1Read

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

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

Performance of a deep learning system for automatic diagnosis of protruding lesions in colon capsule endoscopy: a multicentric studySemantic 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

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

Deep neural network for the prediction of KRAS, NRAS, and BRAF genotypes in left-sided colorectal cancer based on histopathologic images.Semantic proximity Read

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learningSemantic proximity Read

Enhancing Histological Cancer Cell Detection: Integrating XAI with Deep Learning for Improved Accuracy, Interpretability, and Clinical TrustSemantic proximity Read

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal PathologySemantic proximity Read

Aligning computational pathology with clinical practice for colorectal cancerSemantic proximity Read

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