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Found 5 papers, 1 papers with code
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT
Multi-modal volumetric concept activation was used to provide global and local explanations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis.
Interpretable deep learning regression for breast density estimation on MRI
In this study, we propose a method to directly assess breast density on MRI, and provide interpretations of these assessments.
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
A constrained volume growing method uses these manually placed seed points as input and generates a tumor segmentation.
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
The CNN therefore learns to identify the imaging modality, the visualised anatomical structures, and the tissue classes.
