Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network-Reference-Cited by-同舟云学术

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Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network

Published:2017-09 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Image Processing (ICIP)
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Author:

Ishihara Kenta,Ogawa Takahiro,Haseyama Miki

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8267582/8296222/08296643.pdf?arnumber=8296643

Cited by 14 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. Classification and localization of gastric cancer using Multi Information Fusion Network;Revista Română de Informatică și Automatică;2023-12-13

2. DCNET: A Novel Implementation of Gastric Cancer Detection System through Deep Learning Convolution Networks;2022 International Conference on Advanced Computing Technologies and Applications (ICACTA);2022-03-04

3. A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification;Applied Intelligence;2022-01-08

4. Gas-Net: A deep neural network for gastric tumor semantic segmentation;AIMS Bioengineering;2022

5. Classification of Gastric Precancerous Diseases using Hybrid CNN-SVM;2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE);2021-12-22

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