Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.
Nishanth Thumbavanam ArunNathan GawPraveer SinghKen ChangMehak AggarwalBryan ChenKatharina HoebelSharut GuptaJay B. PatelMishka GidwaniJulius AdebayoMatthew D. LiJayashree Kalpathy-CramerPublished in: CoRR (2020)
Keyphrases
- medical imaging
- saliency map
- medical images
- visual attention
- anatomical structures
- visual saliency
- visual saliency detection
- input image
- human visual system
- imaging modalities
- medical image analysis
- image registration
- ct images
- medical image processing
- x ray
- natural images
- salient object detection
- saliency detection
- image processing and analysis
- salient regions
- shape analysis
- video frames
- saliency model
- deformable models
- visual features
- image guided surgery
- salient region detection
- magnetic resonance imaging
- image segmentation
- region of interest
- biomedical engineering
- image processing
- computer vision
- vision system
- eye fixations
- volumetric data
- machine learning
- high quality
- multiscale
- multimedia
- biologically inspired
- image classification
- low level features
- visual information
- eye tracking
- high frequency
- higher level