Machine learning for medical imaging: methodological failures and recommendations for the future

Retrieved on: 2022-04-12 09:15:28

Tags for this article:

Machine learning

Artificial intelligence

Learning

Academic disciplines

Overfitting

Training, validation, and test data sets

Leakage

Cross-validation

Image segmentation

Convolutional neural network

Feature selection

Cluster analysis

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Machine learning for medical imaging: methodological failures and recommendations for the future. View article details on HISWAI: https://www.nature.com/articles/s41746-022-00592-y

Excerpt

Introduction. Machine learning, the cornerstone of today's artificial intelligence (AI) revolution, brings new promises to clinical practice with ...

Article found on: www.nature.com

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