Interactive Skin Wound Segmentation Based on Feature Augment Networks-Reference-Cited by-同舟云学术

Interactive Skin Wound Segmentation Based on Feature Augment Networks

Published:2023-07 Issue:7 Volume:27 Page:3467-3477
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhang Pengfei¹^ORCID,Chen Xinjian²^ORCID,Yin Ziting¹^ORCID,Zhou Xin¹^ORCID,Jiang Qingxin¹,Zhu Weifang¹^ORCID,Xiang Dehui¹^ORCID,Tang Yun³,Shi Fei¹^ORCID

Affiliation:

1. MIPAV Lab, the School of Electronic and Information Engineering, Soochow University, Suzhou, China

2. MIPAV Lab, the School of Electronic and Information Engineering and the State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou, China

3. Suzhou Science and Technology Town Hospital, Suzhou, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10171108/10109016.pdf?arnumber=10109016

Reference48 articles.

1. Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods

2. DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

3. Pressure ulcer image segmentation technique through synthetic frequencies generation and contrast variation using toroidal geometry;david;Biomed Eng Online,2017

4. Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

5. A noncontact wound measurement system;krouskop;J Rehabil Res Develop,2002

Cited by 2 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. Improving deep learning based segmentation of scars using multi-view images;Biomedical Signal Processing and Control;2024-08

2. An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis;Applied Sciences;2023-07-27