Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Researchers review the application of machine learning in improving cancer diagnosis, treatment, and prognosis.

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

Relevance Machine learning and image-based pipelines to link digital histopathology images directly to cancer outcomes are of value, as they may provide improved risk classification (as demonstrated ...