I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses

Author:

Pham Trong Thang1,Brecheisen Jacob1,Nguyen Anh2,Nguyen Hien3,Le Ngan1

Affiliation:

1. University of Arkansas,AICV Lab,Fayetteville,AR,USA,72703

2. University of Liverpool,Liverpool,UK

3. University of Houston,Houston,Texas,USA,77204

Funder

National Science Foundation

Publisher

IEEE

Reference55 articles.

1. Big Self-Supervised Models Advance Medical Image Classification

2. Sam3d: Segment anything model in volumetric medical images;Bui,2023

3. Bias in Radiology: The How and Why of Misses and Misinterpretations

4. Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

5. This looks like that: deep learning for interpretable image recognition;Chen;Advances in neural information processing systems,2019

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