Residual Networks Based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment

Author:

Khan Zohaib Amjad,Beghdadi Azeddine,Kaaniche Mounir,Cheikh Faouzi Alaya

Publisher

IEEE

Cited by 12 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. Smoke veil prior regularized surgical field desmoking without paired in-vivo data;Computers in Biology and Medicine;2024-01

2. A transfer learning coupled framework for distortion classification in laparoscopic videos;Multimedia Tools and Applications;2023-10-18

3. Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method;IEEE Transactions on Circuits and Systems for Video Technology;2023-10

4. CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision;2023 11th European Workshop on Visual Information Processing (EUVIP);2023-09-11

5. Quality Evaluation of Laparoscopic Videos Using the Interdependency of Luminance and Texture Maps;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

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