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GitHub / anondo1969 / SHAMSUL

SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anondo1969%2FSHAMSUL

Stars: 1
Forks: 0
Open Issues: 0

License: mit
Language: Python
Repo Size: 2.53 MB
Dependencies: 0

Created: over 1 year ago
Updated: 7 months ago
Last pushed: 6 months ago
Last synced: 6 months ago

Topics: chest-x-ray, clinical-decision-support-system, deep-learning, grad-cam, heatmap-visualization, human-annotation, interpretability-methods, lime, lrp, medical-significance, quantitative-analysis, shap

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