Design of Liver Cancer Diagnosis System with Structured Database-Reference-Cited by-同舟云学术

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Design of Liver Cancer Diagnosis System with Structured Database

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA)
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Author:

Wang Kuanglan¹,Chan Kwan Ho¹,Liu Engui²,Cao Qiang³,Liu Yan¹,He Yuxin¹,Wang Guangxu¹,Liao Shaoyi Stephen¹,Chen Xinying²,Pu Lixin⁴

Affiliation:

1. City University of Hong Kong,Hong Kong,China

2. Lixin Pharmaceuticals,Guangzhou,China

3. City University of Hong Kong Shenzhen Research Institute,Shenzhen,China

4. Shenzhen Institute for Advanced Study,UESTC,Shenzhen,China

Funder

Guangzhou Municipal Science and Technology Bureau

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164832/10164812/10164883.pdf?arnumber=10164883

Reference11 articles.

1. CHAOS – Combined (CT-MR) healthy abdominal organ segmentation challenge data 2019;kavur,0

2. Lits-liver tumor segmentation challenge;christ;ISBI and MICCAI,2017

3. AbdomenCT-1k: Is abdominal organ segmentation a solved problem?;ma;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021

4. Automatic liver and lesion segmentation: A primary step in diagnosis of liver diseases;ss;Signal Image Video Process,2013

5. Computer Aided Diagnosis for liver Cancer Feature Extraction;vincey jeba malar;The International Journal of Engineering and Science (IJES),2013

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