Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network-Reference-Cited by-同舟云学术

Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network

Published:2023-01-11 Issue:4 Volume:18 Page:723-732
ISSN:1861-6429
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Manjunatha Yashwanth,Sharma Vanshali^ORCID,Iwahori Yuji^ORCID,Bhuyan M. K.^ORCID,Wang Aili^ORCID,Ouchi Akira^ORCID,Shimizu Yasuhiro

Funder

JSPS Grant-in-Aid for Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11548-022-02822-w.pdf

Reference21 articles.

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4. Ma Y, Peng Y (2020) Lymph node detection method based on multisource transfer learning and convolutional neural network. Int J Imag Syst Technol 30(2):298–310

5. Bouget D, Jørgensen A, Kiss G, Leira HO, Langø T (2019) Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in ct data for lung cancer staging. Int J Comput Assist Radiol Surg 14(6):977–986

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