CristianoPatricio/Explainable-Deep-Learning-Methods-in-Medical-Image-Classification-A-Survey
Official repository of the paper "Explainable Deep Learning Methods in Medical Image Classification: A Survey", ACM Computing Surveys (CSUR), 2023.
This project compiles a comprehensive survey of explainable deep learning methods applied to medical image classification. It provides a structured overview of various techniques for understanding how AI models make diagnostic decisions from medical images, along with an interactive table to explore relevant research. This resource is for medical researchers, clinical decision-makers, and machine learning practitioners who need to interpret AI predictions in healthcare.
No commits in the last 6 months.
Use this if you need to understand the current landscape of methods for making AI predictions in medical imaging transparent and interpretable for clinical use.
Not ideal if you are looking for ready-to-use software or code implementations of specific XAI methods rather than a research overview.
Stars
10
Forks
2
Language
—
License
—
Category
Last pushed
Jan 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CristianoPatricio/Explainable-Deep-Learning-Methods-in-Medical-Image-Classification-A-Survey"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nilearn/nilearn
Machine learning for NeuroImaging in Python
aramis-lab/clinica
Software platform for clinical neuroimaging studies
TissueImageAnalytics/tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
nipreps/mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and...
nadeemlab/DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification...