Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images-Reference-Cited by-同舟云学术

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Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images

Published:2015-06-02 Issue:3 Volume:23 Page:275-288
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Lee Jeongjin¹,Kim Kyoung Won²,Kim So Yeon²,Shin Juneseuk³,Park Kyung Jun¹,Won Hyung Jin²,Shin Yong Moon²

Affiliation:

1. School of Computer Science and Engineering, Soongsil University, Dongjak-Gu, Seoul, Korea

2. Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Songpa-ku, Seoul, Korea

3. Department of Systems Management Engineering, Sungkyunkwan University, Seobu-ro, Jangan-gu, Suwon-si, Gyeong gi-do, Korea

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

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2. Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space;Digital Diagnostics;2024-04-19

3. Prediction of preoperative microvascular invasion by dynamic radiomic analysis based on contrast-enhanced computed tomography;Abdominal Radiology;2023-12-05

4. Role of lncRNA LINC01194 in hepatocellular carcinoma via the miR-655-3p/SMAD family member 5 axis;Bioengineered;2022-01-01

5. Artificial intelligence in the detection, characterisation and prediction of hepatocellular carcinoma: a narrative review;Translational Gastroenterology and Hepatology;2021-01

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