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

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

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.

Against this backdrop, a research team led by Professor Takuma Fujii from Fujita Health University, Japan, aimed to identify biomarkers that could assist in the early detection of cervical cancer.

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, ...

Most cervical cancers are caused by human papilloma virus (HPV), providing a convenient genetic marker of cancer-derived DNA that could be used to assess residual disease burden within plasma.

BACKGROUND:Although potentially curable with early detection and timely treatment, breast cancer (BC) and cervical cancer (CC) remain leading causes of death for Colombian women. Lack of education, ...