Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network

H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi… - Gastrointestinal …, 2020 - Elsevier
Background and Aims Protruding lesions of the small bowel vary in wireless capsule
endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to …
被引用次数：146 相关文章

Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network

H Saito, T Aoki, K Aoyama, Y Kato… - Gastrointestinal …, 2020 - pubmed.ncbi.nlm.nih.gov
Background and aims Protruding lesions of the small bowel vary in wireless capsule
endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to …

Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.

H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi… - Gastrointestinal …, 2020 - europepmc.org
Methods We trained a deep convolutional neural network (CNN), using 30,584 WCE images
of protruding lesions from 292 patients. We evaluated CNN performance by calculating the …

Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network

H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi… - Gastrointestinal …, 2020 - giejournal.org
Background and Aims Protruding lesions of the small bowel vary in wireless capsule
endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to …

[引用][C] Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network

H Saito, T Aoki, K Aoyama, Y Kato, A Tsuboi… - Gastrointestinal …, 2020 - cir.nii.ac.jp
Automatic detection and classification of protruding lesions in wireless capsule endoscopy
images based on a deep convolutional neural network | CiNii Research CiNii 国立情報学 …