Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches-Reference-Cited by-同舟云学术

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Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
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Author:

Ferreira Jorge,Domingues Ines,Sousa Olga,Sampaio Ines Lucena,Santos Joao A. M.

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9287816/9287978/09288025.pdf?arnumber=9288025

Cited by 6 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. Esophageal Cancer Classification in Initial Stages Using Deep and Transfer Learning;2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2024-04-27

2. Radiomics-based T-staging of hollow organ cancers;Frontiers in Oncology;2023-08-30

3. Machine learning applications for early detection of esophageal cancer: a systematic review;BMC Medical Informatics and Decision Making;2023-07-17

4. Multi-stage biomedical feature selection extraction algorithm for cancer detection;SN Applied Sciences;2023-04-07

5. Machine Learning Applications for Early Detection of Esophageal Cancer: A Systematic Review;2023-04-07

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