Explainable AI: current status and future potential
Article in European Radiology (August 2023)
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Interpretability of Machine Intelligence in Medical Image Computing
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging
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Altmetric BadgeChapter 2 Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation
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Altmetric BadgeChapter 3 Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data
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Altmetric BadgeChapter 4 Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis
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Altmetric BadgeChapter 5 Attention-Based Interpretable Regression of Gene Expression in Histology
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Altmetric BadgeChapter 6 Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust
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Altmetric BadgeChapter 7 Interpretable Vertebral Fracture Diagnosis
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Altmetric BadgeChapter 8 Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT
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Altmetric BadgeChapter 9 KAM -- a Kernel Attention Module for Emotion Classification with EEG Data
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Altmetric BadgeChapter 10 Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful
Attention for Chapter 3:
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data