Venous Malformation Discrimination by Phleboliths Detection with Deep Learning

Author:

Cai Yuwei1ORCID,Gong Xia2ORCID,He Qiang3ORCID,Fan Xindong4ORCID,Xiong Ping5ORCID

Affiliation:

1. School of Artificial Intelligence, School of Artificial Intelligence, China

2. Department of Ultrasound Shanghai 9th People? Hospital, School of Medicine?Shanghai Jiaotong University?Shanghai, China, China

3. School of Artificial Intelligence, School of Artificial Intelligence, HuBei Jianghan University, WuHan, HuBei, China, China

4. Department of Intervention Shanghai 9th People? Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China, China

5. Department of Ultrasound Shanghai 9th People? Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China, China

Publisher

ACM

Reference14 articles.

1. Dasgupta R, Fishman S J. ISSVA classification[C]//Seminars in Pediatric Surgery. WB Saunders, 2014, 23(4): 158-161.

2. Cooke-Barber J, Kreimer S, Patel M, Venous malformations[C]//Seminars in Pediatric Surgery. WB Saunders, 2020, 29(5): 150976.

3. Association of Localized Intravascular Coagulopathy With Venous Malformations

4. Venous malformations: what do phleboliths tell us in the pediatric population?

5. Venous malformations of the limbs: the Birmingham experience, comparisons and classification in children

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