Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study

Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study

Analysis of colonoscopy images plays a significant role in early detection of colorectal cancer. Automated tissue segmentation can be useful for two of the most relevant clinical target applications—lesion detection and classification, thereby providing important means to make both processes more ac...

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Bibliographic Details
Main Authors: Yunbo Guo, Jorge Bernal, Bogdan J. Matuszewski
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Journal of Imaging
Subjects:
fully convolutional dilation neural networks
polyp segmentation
data augmentation
cross-validation
ablation tests
Online Access:https://www.mdpi.com/2313-433X/6/7/69

Internet

https://www.mdpi.com/2313-433X/6/7/69

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