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) ...

Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods ...

By harnessing deep learning algorithms, AI is now able to replicate human-like interpretation of medical images, resulting in more accurate detection of cervical cancer.

The AI model from IASST boasts a 98.02% accuracy, significantly improving early detection of cervical dysplasia.

Hologic Inc. is teaming up with Google Cloud to use machine learning technologies to improve the accuracy and timeliness of cytology for cervical cancer screening. Marlborough, Mass.-based Hologic, ...