A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images-Reference-Cited by-同舟云学术

A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images

Published:2023 Issue: Volume:7 Page:100094
ISSN:2666-5212
Container-title:Intelligence-Based Medicine
language:en
Short-container-title:Intelligence-Based Medicine

Author:

Dabass Manju^ORCID,Dabass Jyoti,Vashisth Sharda,Vig Rekha

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Health Informatics,Medicine (miscellaneous)

Reference48 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J Clin,2018

2. Global colorectal cancer burden in 2020 and projections to 2040;Xi;Translat Oncol,2021

3. Deep learning with sampling in colon cancer histology;Shapcott;Front Bioeng Biotechnol,2019

4. Pathologists' workload and patient safety;Maung;Diagn Histopathol,2016

5. Training pathology residents to practice 21st century medicine: a proposal;Black-Schaffer;Acad Pathol,2016

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