nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images-Reference-Cited by-同舟云学术

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nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images

Published:2022-03-30 Issue:2 Volume:3 Page:e155
ISSN:2691-3593
Container-title:Annals of Surgery Open
language:en
Short-container-title:

Author:

Pettit Rowland W.,Marlatt Britton B.,Corr Stuart J.,Havelka Jim,Rana Abbas

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference45 articles.

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2. History of clinical transplantation.;Starzl;World J Surg,2000

3. Size mismatch in liver transplantation.;Fukazawa;J Hepatobiliary Pancreat Sci,2016

4. Liver replacement for pediatric patients.;Starzl;Pediatrics,1979

5. Size mismatch in deceased donor liver transplantation and its impact on graft survival.;Reyes;Clin Transplant,2019

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5. Grey Wolf optimized SwinUNet based transformer framework for liver segmentation from CT images;Computers and Electrical Engineering;2024-07

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