Editorial: Interpretable and explainable machine learning models in oncology
Main Authors: | William Thomas Hrinivich, Tonghe Wang, Chunhao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-03-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1184428/full |
Similar Items
-
Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation
by: Francesco Mercaldo, et al.
Published: (2023-09-01) -
Toward Building Trust in Machine Learning Models: Quantifying the Explainability by SHAP and References to Human Strategy
by: Zhaopeng Li, et al.
Published: (2024-01-01) -
Explainable Machine-Learning Predictions for Peak Ground Acceleration
by: Rui Sun, et al.
Published: (2023-04-01) -
Perspective on Explainable SAR Target Recognition
by: GUO Weiwei, et al.
Published: (2020-06-01) -
Explainable AI: A Review of Machine Learning Interpretability Methods
by: Pantelis Linardatos, et al.
Published: (2020-12-01)