DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation-Reference-Cited by-同舟云学术

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DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation

Published:2024 Issue: Volume:12 Page:40412-40424
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ortega-Ruíz Mauricio Alberto¹,Karabağ Cefa²^ORCID,Roman-Rangel Edgar³^ORCID,Reyes-Aldasoro Constantino Carlos⁴^ORCID

Affiliation:

1. Department of Engineering, CIIDETEC-Coyoacan, Universidad del Valle de México, Mexico City, Mexico

2. School of Computing and Digital Media, London Metropolitan University, London, U.K

3. Department of Computer Science, Instituto Tecnológico Autónomo de México, Mexico City, Mexico

4. School of Science and Technology, City, University of London, London, U.K

Funder

Asociación Mexicana de Cultura A.C

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10472471.pdf?arnumber=10472471

Reference83 articles.

1. Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation

2. Human segmentation in surveillance video with deep learning

3. A review on image segmentation techniques

4. Image Segmentation Using Deep Learning: A Survey

5. Techniques and challenges of image segmentation: A review;Yu;Electronics,2023

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FCM-DCS: Fuzzy C means distorted contour-based segmentation model for breast cancer detection;Neurocomputing;2024-09

2. Ship Segmentation via Combined Attention Mechanism and Efficient Channel Attention High-Resolution Representation Network;Journal of Marine Science and Engineering;2024-08-16

3. Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence;Electronics;2024-06-13

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