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Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typically, these images suffer from low contrast, complex background, variations in lesion shape and color, which affect the accuracy of their segmentation and subsequent classification. This research propos...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6471286/ https://ncbi.nlm.nih.gov/pubmed/30871162 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19061265 |
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