Machine learning (ML) has the potential to transform oncology and, more broadly, medicine. 1 The introduction of ML in health care has been enabled by the digitization of patient data, including the ...

The study demonstrates that machine learning can achieve high performance on a challenging image classification task and has the potential to greatly assist pathologists in lung cancer classification.

Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions.

Image-processing techniques in machine learning (ML) for skin cancer detection using clinical images.

Such a machine learning tool has the potential to provide transformative improvements in individualized cancer risk assessment, but implementation must include broad access across all imaging ...