Human-in-the-loop informed deep learning rectal tumor segmentation on pre-treatment MRI-Reference-Cited by-同舟云学术

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Human-in-the-loop informed deep learning rectal tumor segmentation on pre-treatment MRI

Published:2024-04-03 Issue: Volume: Page:4
ISSN:
Container-title:Medical Imaging 2024: Computer-Aided Diagnosis
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Author:

Kong Michael,DeSilvio Thomas G.,Bao Leo,Flannery Brennan,Parker Benjamin N.,Tang Stephen M.,Labbad Murad,O'Connor Gregory M.,Gupta Amit,Steinhagen Emily,Purysko Andrei S.,Hall William,Liska David,Marderstein Eric L.,Carroll Aaron,Crittenden Marka,Gough Michael,Young Kristina H.,Viswanath Satish E.

Publisher

SPIE

Reference16 articles.

1. Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors

2. Diagnostic Accuracy of MRI for Assessment of T Category, Lymph Node Metastases, and Circumferential Resection Margin Involvement in Patients with Rectal Cancer: A Systematic Review and Meta-analysis

3. Radiomics: the facts and the challenges of image analysis

4. Automatic segmentation of rectal tumors from MRI using multiscale densely connected convolutional neural network based on attention mechanism

5. A boundary-guided transformer for measuring distance from rectal tumor to anal verge on magnetic resonance images

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