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Early esophageal adenocarcinoma detection using deep learning methods
PURPOSE: This study aims to adapt and evaluate the performance of different state-of-the-art deep learning object detection methods to automatically identify esophageal adenocarcinoma (EAC) regions from high-definition white light endoscopy (HD-WLE) images. METHOD: Several state-of-the-art object de...
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| Published in: | Int J Comput Assist Radiol Surg |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer International Publishing
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6420905/ https://ncbi.nlm.nih.gov/pubmed/30666547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-019-01914-4 |
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