Convolutional neural network model for automatic recognition and classification of pancreatic cancer cell based on analysis of lipid droplet on unlabeled sample by 3D optical diffraction tomography-Reference-Cited by-同舟云学术

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Convolutional neural network model for automatic recognition and classification of pancreatic cancer cell based on analysis of lipid droplet on unlabeled sample by 3D optical diffraction tomography

Published:2024-04 Issue: Volume:246 Page:108041
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Hong Seok Jin,Hou Jong-Uk,Chung Moon Jae,Kang Sung Hun,Shim Bo-Seok,Lee Seung-Lee,Park Da Hae,Choi Anna,Oh Jae Yeon,Lee Kyong Joo,Shin Eun^ORCID,Cho Eunae^ORCID,Park Se Woo^ORCID

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference35 articles.

1. Hallmarks of cancer: the next generation;Hanahan;Cell,2011

2. Fat on the move: intracellular motion of lipid droplets;Welte;Biochem. Soc. Trans.,2009

3. Lipid droplets in inflammation and cancer;Bozza;Prostaglandins Leukot. Essent. Fatty Acids,2010

4. Pancreatic cancer;Kleeff;Nat. Rev. Dis. Primers,2016

5. Lipid metabolism and lipid droplets in pancreatic cancer and stellate cells;Sunami;Cancers,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Label-free long-term measurements of adipocyte differentiation from patient-driven fibroblasts and quantitative analyses of in situ lipid droplet generation;2024-01-07

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