Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Deep Neural Network for the Prediction of KRAS Genotype in Rectal Cancer.

Journal of the American College of Surgeons - 1 Sept 2022

Ghareeb Waleed M, Draz Eman, Madbouly Khaled, Hussein Ahmed H, Faisal Mohammed, Elkashef Wagdi, Emile Mona Hany, Edelhamre Marcus, Kim Seon Hahn, Emile Sameh Hany

Abstract excerpt

BACKGROUND: KRAS mutation can alter the treatment plan after resection of colorectal cancer. Despite its importance, the KRAS status of several patients remains unchecked because of the high cost and limited resources. This study developed a deep neural network (DNN) to predict the KRAS genotype using hematoxylin and eosin (H&E)-stained histopathological images. STUDY DESIGN: Three DNNs were created (KRAS_Mob,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cohort Studies
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Neural Networks, Computer

Share to Proto-Oncogene Proteins p21(ras)

Share to Rectal Neoplasms

Source

Identifiers

PMID: 35972169
DOI: 10.1097/XCS.0000000000000277

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deep Neural Network for the Prediction of KRAS Genotype in Rectal Cancer.PMID 35972169Read ↗

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

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric StudySemantic proximity Read ↗

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.Semantic proximity Read ↗

Imaging prediction of KRAS mutation in patients with rectal cancer through deep metric learning using pretreatment [18F]Fluorodeoxyglucose positron emission tomography/computed tomography.Semantic proximity Read ↗

Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on routine CT imagingSemantic proximity Read ↗

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.Semantic proximity Read ↗

Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging.Semantic proximity Read ↗

Radiogenomic and Deep Learning Network Approaches to Predict KRAS Mutation from Radiotherapy Plan CT.Semantic proximity Read ↗

Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imagingSemantic 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 ↗

Learn to Estimate Genetic Mutation and Microsatellite Instability with Histopathology H&E Slides in Colon CarcinomaSemantic proximity Read ↗

Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.