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A shallow extraction of texture features for classification of abnormal video endoscopy frames

  • Published:2022-08 Issue: Volume:77 Page:103733
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Ali Hussam,Sharif Muhammad,Yasmin Mussarat,Rehmani Mubashir Husain

Funder

National University of Sciences and Technology

Instituto de Telecomunicações

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference66 articles.

1. Current trends and applications in endoscopy for otology and neurotology;Ridge;World Journal of Otorhinolaryngology - Head and Neck Surgery,2021

2. Videomics: bringing deep learning to diagnostic endoscopy;Paderno;Current opinion in otolaryngology & head and neck surgery,2021

3. Image-enhanced endoscopy technology in the gastrointestinal tract: What is available?;Beg;Best Practice and Research: Clinical Gastroenterology,2015

4. Early detection of early gastric cancer using image-enhanced endoscopy: Current trends;Song;Gastrointestinal Intervention,2014

5. Computer-aided decision support systems for endoscopy in the gastrointestinal tract: a review;Liedlgruber;IEEE Reviews in Biomedical Engineering,2011

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncertainty-aware network for fine-grained and imbalanced reflux esophagitis grading;Computers in Biology and Medicine;2024-01

2. Block-Based Texture Features for Chromoendoscopy Classification;IFMBE Proceedings;2023-10-19

3. Texture Characterization Fuzzy Logic-Based Model for Melanoma Diagnosis;Cybernetics and Systems;2023-08-21

4. Endoscopic Image Classification using Block-based Color Feature Descriptors;2022 RIVF International Conference on Computing and Communication Technologies (RIVF);2022-12-20
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