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

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

12 June 2021
Zohaib Amjad Khan
Azeddine Beghdadi
M. Kaaniche
F. A. Cheikh
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment"

4 / 4 papers shown
Title
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
Sepehr Kazemi Ranjbar
Emad Fatemizadeh
119
1
0
10 Sep 2024
CD-COCO: A Versatile Complex Distorted COCO Database for
  Scene-Context-Aware Computer Vision
CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision
Ayman Beghdadi
Azeddine Beghdadi
Malik Mallem
Lotfi Beji
F. A. Cheikh
58
3
0
12 Nov 2023
A Neural Network based Framework for Effective Laparoscopic Video
  Quality Assessment
A Neural Network based Framework for Effective Laparoscopic Video Quality Assessment
Zohaib Amjad Khan
Azeddine Beghdadi
M. Kaaniche
F. A. Cheikh
Osama Gharbi
MedIm
65
12
0
09 Feb 2022
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
Shahnewaz Ali
Y. Jonmohamadi
Y. Takeda
Jonathan M. Roberts
R. Crawford
Cameron Brown
Ajay K. Pandey
23
3
0
03 Mar 2021
1