Comparative study of convolutional neural network architectures for gastrointestinal lesions classification
The gastrointestinal (GI) tract can be affected by different diseases or lesions such as esophagitis, ulcers, hemorrhoids, and polyps, among others. Some of them can be precursors of cancer such as polyps. Endoscopy is the standard procedure for the detection of these lesions. The main drawback of t...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-03-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/14806.pdf |