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cs.CV2024
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
David Vázquez-Lema, Eduardo Mosqueira-Rey, Elena Hernández-Pereira +3
This paper explores the application of Human-in-the-Loop (HITL) strategies in training machine learning models in the medical domain. In this case a doctor-in-the-loop approach is…
cs.LG2024
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
José Bobes-Bascarán, Eduardo Mosqueira-Rey, Ángel Fernández-Leal +5
This paper presents a comprehensive study on the evaluation of explanatory capabilities of machine learning models, with a focus on Decision Trees, Random Forest and XGBoost models…