Automatic Liver Vessels Segmentation Using ResDense UNet And An Appropriate Preprocessing Pipeline-Reference-Cited by-同舟云学术

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Automatic Liver Vessels Segmentation Using ResDense UNet And An Appropriate Preprocessing Pipeline

Published:2023-10-25 Issue: Volume: Page:166-171
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Cavicchioli Matteo¹,Pierelli Ludovica²,Pugliese Giacomo³,Cerveri Pietro¹

Affiliation:

1. Politecnico di Milano,Department of Electronics Information and Bioengineering (DEIB),Milano,Italy

2. MIAS Academy Foundation,R&D Department,Milano,Italy

3. Executive Management MIAS Academy Foundation,Milano,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405781.pdf?arnumber=10405781

Reference20 articles.

1. World cancer report;Weiderpass;The Int. Agency for Res. on Cancer (IARC),2020

2. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma

3. Hepatocellular carcinoma: a review

4. Hepatobiliary Cancers, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology

5. Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging

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