Article

Benchmarking saliency methods for chest X-ray interpretation

2021-03-02

Abstract excerpt

Saliency methods, which “explain” deep neural networks by producing heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making. Although many saliency methods have been proposed for medical imaging interpretation, rigorous investigation of the accuracy and reliability of these strategies is necessary before they...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e1252c5b-f75c-5e10-a57b-c04c81e1aa2d
DOI: 10.1101/2021.02.28.21252634

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Benchmarking saliency methods for chest X-ray interpretationDOI 10.1101/2021.02.28.21252634Read

Artificial Intelligence for Lung Ultrasound Interpretation: A Systematic ReviewSemantic proximity Read

A Decade of Deep Learning-based Biomedical Image SegmentationSemantic proximity Read

Prompt-driven Healthy/Diseased Image Pairs Enabling Pixel-level Chest X-ray Pathology LocalizationSemantic proximity Read

COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning ModelSemantic proximity Read

IHRAS: Automated Medical Report Generation from Chest X-rays via Classification, Segmentation, and LLMsSemantic proximity Read

A Multi-Task Vision Transformer Framework for Explainable Pneumonia Detection and Localization from Chest X-Ray ImagesSemantic proximity Read

AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-raysSemantic proximity Read

Self-Supervised Pretraining Enables High-Performance Chest X-Ray Interpretation Across Clinical DistributionsSemantic proximity Read

DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the MicroscopeSemantic proximity Read

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality ConstraintSemantic proximity Read

ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image SegmentationSemantic proximity Read

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localizationSemantic proximity Read