GCFormer: Multi-scale feature plays a crucial role in medical images segmentation-Reference-Cited by-同舟云学术

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GCFormer: Multi-scale feature plays a crucial role in medical images segmentation

Published:2024-09 Issue: Volume:300 Page:112170
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Feng Yuncong^ORCID,Cong Yeming,Xing Shuaijie,Wang Hairui,Ren Zihang,Zhang Xiaoli^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Current methods in medical image segmentation;Pham;Annu. Rev. Biomed. Eng.,2000

2. Medical image segmentation: a brief survey;Elnakib,2011

3. Deep learning techniques for medical image segmentation: achievements and challenges;Hesamian;J. Digit. Imaging,2019

4. Medical image segmentation using deep learning: A survey;Wang;IET Image Process.,2022

5. A review of deep-learning-based medical image segmentation methods;Liu;Sustainability,2021

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