Esther Ugwueke is a biomedical expert and PhD student at the University of Nebraska Medical Center, United States, where she ...

In this paper, we investigate several state-of-the-art machine-learning methods for automated classification of clustered microcalcifications (MCs). The classifier is part of a computer-aided ...

Detection of Microcalcifications in Mammograms Using Support Vector Machine ... The system classifies normal and tumor tissues in addition to benign and malignant tumors. The classification rate was ...

They may seem to appear overnight. Cysts are rarely cancer (malignant). They may be caused by blocked ... They may want to do a mammogram before deciding whether to remove it. These lumps ... These ...

Between 2012 and 2022, incidence rates of breast cancer increased by 1% per year in women older than 50 years and by 1.4% in women younger than 50 years.

AI-driven Clairity Breast platform, now FDA-approved, predicts five-year breast cancer risk from mammograms, enhancing early detection and prevention.

Radiologists interpret more than 40 million mammograms in the United States every year. In 2025, AI tools to help detect or diagnose possible cancer will be applied to millions of them.

Effect of H3K18 lactylation in cancer-associated fibroblasts on malignant pleural effusion progression via recruiting of TNFR2 + Tregs.. JCO 43 , e20028-e20028 (2025). DOI: ...

BreastScreen Australia now says routine mammograms should include breast density reports but currently only those in New South Wales, Victoria, South Australia and Western Australia do so.

The program, called Clairity Breast, analyzes mammograms for subtle features that correlate with future breast cancer risk, according to a news release from Clairity. The analysis results in a 5 ...