We compare our results with some commonly used features for colonic polyp classification and the good results suggest that features learned by CNNs trained from ...
Oct 26, 2016 · In this work we explore Deep Learning for the automated classification of colonic polyps using different configurations for training CNNs from scratch.
May 31, 2024 · In this work we explore Deep Learning for the automated classification of colonic polyps using different configurations for training CNNs from ...
This work addresses Transfer Learning via Convolutional Neural Networks (CNN's) for the automated classification of colonic polyps in eight HD-endoscopic ...
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This work addresses Transfer Learning via Convolutional. Neural Networks (CNN's) for the automated classification of colonic polyps in eight HD-endoscopic image ...
Feb 11, 2021 · This research improved the performance of polyp classification through the fine-tuning of Network-in-Network (NIN) after applying a pre-trained model of the ...
In this work, we evaluate and analyze the use of CNN's as a general feature descriptor doing transfer learning to generate “off-the-shelf” CNN's features for ...
This paper proposes the use of CNN's for the automated classification of colonic mucosa for colon polyp staging in the context of colon cancer screening and ...
The proposed model can detect and classify colorectal polyps from the colonoscopy images with 92% accuracy.
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The current systematic review provides an analysis of these methods, stating advantages and disadvantages for the different categories used.