Exploring Optimised Capsule Network on Complex Images for Medical Diagnosis
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9681916/9681942/09682081.pdf?arnumber=9682081
Reference24 articles.
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3. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
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1. HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images;International Journal of Imaging Systems and Technology;2024-04-30
2. Proximity-Linked Multi-Disease Classification in Endoscopy: Incorporating Deep Learning Advancements in a Cluster-Based Framework;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13
3. Analyzing the performances of squash functions in capsnets on complex images;Cogent Engineering;2023-04-23
4. Modern Challenges and Limitations in Medical Science Using Capsule Networks: A Comprehensive Review;Fourth International Conference on Image Processing and Capsule Networks;2023
5. Gastrointestinal tract disease recognition based on denoising capsule network;Cogent Engineering;2022-11-11
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