Article

RectoMap: a generalizable deep learning tool for rectal cancer and mesorectum MRI segmentation

2026-07-28

Abstract excerpt

<title>Abstract</title> <p>Purpose To develop and evaluate RectoMap, a robust open-source deep learning pipeline for fully automatic 3D segmentation of rectal cancer and mesorectum on T2-weighted MRI, with a specific focus on generalization across MRI scanner vendors in heterogeneous multi-institutional data. Methods In this retrospective multi-institutional study, 226 patients with locally advanced rectal canc...

Topics

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

Identifiers and source

Literature Corpus work: 8a861e7a-51f0-5806-83da-9437221707f3
DOI: 10.21203/rs.3.rs-10432717/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RectoMap: a generalizable deep learning tool for rectal cancer and mesorectum MRI segmentationDOI 10.21203/rs.3.rs-10432717/v1Read

Enhancing Precision in Rectal Cancer Radiotherapy: Localized Fine-Tuning of Deep-learning based Auto-segmentation (DLAS) Model for Clinical Target Volume and Organs-at-riskSemantic proximity Read

MRICombo: a deep-learning-based framework for universal volume segmentation, grading-staging, and malignancy detection across heterogeneous MRISemantic proximity Read

A generalizable deep learning model for preoperative ECE detection in prostate cancer: a multicenter studySemantic proximity Read

Automated CT Segmentation of Diffuse Pseudomyxoma Peritonei Lesions Using a Hybrid Deep Learning ModelSemantic proximity Read

Assessing Quantitative Performance and Expert Review of Multiple Deep Learning-Based Frameworks for Computed Tomography-based Abdominal Organ Auto-SegmentationSemantic proximity Read

Urethra contours on MRI: multidisciplinary consensus educational atlas and reference standard for artificial intelligence benchmarkingSemantic proximity Read

Deep Learning for Automated Meningioma Segmentation: Toward Clinical Integration and Workflow EfficiencySemantic proximity Read

Prostate MR Image Segmentation Using a Multi-Stage Network ApproachSemantic proximity Read

Development of a High-Performance Multiparametric MRI Oropharyngeal Primary Tumor Auto-Segmentation Deep Learning Model and Investigation of Input Channel Effects: Results from a Prospective Imaging RegistrySemantic proximity Read

Feasibility of clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: a study with external validationSemantic proximity Read

A Generative Adversarial Network (GAN)-based Three-dimensional Rectal Cancer Pathological Complete Response Prediction FrameworkSemantic proximity Read

MRI-based deep learning model for differentiating endometrial cancer from atypical endometrial hyperplasia: A Multicenter StudySemantic proximity Read