Clinical applications of artificial intelligence in liver imaging-Reference-Cited by-同舟云学术

Clinical applications of artificial intelligence in liver imaging

Published:2023-05-10 Issue:6 Volume:128 Page:655-667
ISSN:1826-6983
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Yamada Akira^ORCID,Kamagata Koji,Hirata Kenji,Ito Rintaro,Nakaura Takeshi,Ueda Daiju,Fujita Shohei,Fushimi Yasutaka,Fujima Noriyuki,Matsui Yusuke,Tatsugami Fuminari,Nozaki Taiki,Fujioka Tomoyuki,Yanagawa Masahiro,Tsuboyama Takahiro,Kawamura Mariko,Naganawa Shinji

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11547-023-01638-1.pdf

Reference100 articles.

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3. Selver MA, Kocaoğlu A, Demir GK et al (2008) Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation. Comput Biol Med 38:765–784. https://doi.org/10.1016/j.compbiomed.2008.04.006

4. Lu X, Wu J, Ren X et al (2014) The study and application of the improved region growing algorithm for liver segmentation. Optik 125:2142–2147. https://doi.org/10.1016/j.ijleo.2013.10.049

5. Liao M, Zhao Y-Q, Wang W et al (2016) Efficient liver segmentation in CT images based on graph cuts and bottleneck detection. Phys Med 32:1383–1396. https://doi.org/10.1016/j.ejmp.2016.10.002

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