IEEE

Breast Cancer Identification Using Deep Learning on the BreakHis Dataset: Classification and Segmentation Approaches

Abstract: Breast cancer ranks among the top in all the different type of cancer that fatalities for death in women globally. Traditional histopathological analysis methods are manual, time-consuming, ...

AI screening tool gives pathologists 'spatial super vision' to detect hidden cancer

QIMR Berghofer scientists have developed an AI screening tool that harnesses the power of cutting-edge spatial biology ...

OpenBind's first data and model release marks a milestone for AI enabled drug discovery

The UK-led OpenBind initiative has reached a major milestone with the release of its first publicly available dataset and ...

AI pathology framework can enable a deeper understanding of cancer

The digital transformation of pathology is opening up new possibilities for cancer diagnosis. Today's artificial intelligence ...
IEEE

Enhancing Breast Cancer Detection with AI: Ensuring Image Security and Diagnostic Precision Through Deep Learning Techniques

Abstract: This study aims to explore and evaluate the effectiveness of Artificial Intelligence (AI), particularly Deep Learning (DL), as an innovative tool in the fight against breast cancer. As ...