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cs.CV2024
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
Sepehr Kazemi Ranjbar, Emad Fatemizadeh
Blind Image Quality Assessment (BIQA) aims to develop methods that estimate the quality scores of images in the absence of a reference image. In this paper, we approach BIQA from a…
cs.CV2024
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology
Pardis Afshar, Sajjad Hashembeiki, Pouya Khani +2
Histopathological image analysis is crucial for accurate cancer diagnosis and treatment planning. While deep learning models, especially convolutional neural networks, have advance…