Multi-Scale Pathological Fluid Segmentation in OCT With a Novel Curvature Loss in Convolutional Neural Network-Reference-Cited by-同舟云学术

Multi-Scale Pathological Fluid Segmentation in OCT With a Novel Curvature Loss in Convolutional Neural Network

Published:2022-06 Issue:6 Volume:41 Page:1547-1559
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Xing Gang¹^ORCID,Chen Li²,Wang Hualin¹,Zhang Jiong³^ORCID,Sun Dongke⁴,Xu Feng¹,Lei Jianqin²^ORCID,Xu Xiayu¹^ORCID

Affiliation:

1. Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China

2. Department of Ophthalmology, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

3. Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China

4. Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, China

Funder

Shaanxi National Science Foundation

Open Research Fund of the Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9786024/09676604.pdf?arnumber=9676604

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5. Michael labeled optical coherence tomography (OCT) and chest X-ray images for classification;kermany,0

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