Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI-Reference-Cited by-同舟云学术

Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI

Published:2021-06-01 Issue:9 Volume:16 Page:1527-1536
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Takenaga Tomomi^ORCID,Hanaoka Shouhei,Nomura Yukihiro,Nakao Takahiro,Shibata Hisaichi,Miki Soichiro,Yoshikawa Takeharu,Hayashi Naoto,Abe Osamu

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/s11548-021-02416-y.pdf

Reference11 articles.

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2. Berger-Kulemann V, Schima W, Baroud S, Koelblinger C, Kaczirek K, Gruenberger T, Schindl M, Maresch J, Weber M, Ba-Ssalamah A (2012) Gadoxetic acid-enhanced 3.0 T MR imaging versus multidetector-row CT in the detection of colorectal metastases in fatty liver using intraoperative ultrasound and histopathology as a standard of reference. Eur J Surg Oncol 38(8):670–676. https://doi.org/10.1016/j.ejso.2012.05.004

3. Jansen MJA, Kuijf HJ, Niekel M, Veldhuis WB, Wessels FJ, Viergever MA, Pluim JPW (2019) Liver segmentation and metastases detection in MR images using convolutional neural networks. J Med Imag 6(4):044003. https://doi.org/10.1117/1.jmi.6.4.044003

4. Bousabarah K, Letzen B, Tefera J, Savic L, Schobert I, Schlachter T, Staib L, Kocher M, Lin M (2020) Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning. Abdom Radiol. https://doi.org/10.1007/s00261-020-02604-5

5. Takenaga T, Hanaoka S, Nomura Y, Nemoto M, Murata M, Nakao T, Miki S, Yoshikawa T, Hayashi N, Abe O (2019) Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. Int J Comput Assist Radiol Surg 14(8):1259–1266. https://doi.org/10.1007/s11548-019-01935-z

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