AI Reads Breast Microcalcifications With New Precision, Cutting Unneeded Biopsies
A multicenter study shows a hybrid deep learning model combining CNN and graph convolutional networks can predict malignancy in BI-RADS ...
A multicenter study shows a hybrid deep learning model combining CNN and graph convolutional networks can predict malignancy in BI-RADS ...
A new retrospective cohort study from Henry Ford Health examines whether women with hidradenitis suppurativa adhere to breast cancer screening ...
Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...
A new mixed-methods study finds that Iran's breast cancer screening remains opportunistic and unevenly implemented, despite infrastructure that could support ...
A randomized controlled trial in Flanders found that a reminder letter co-created with low-income women nearly doubled mammography attendance among ...
A nationwide ecological study of 1,707 Japanese municipalities found that local economic factors, especially per capita municipal spending and unemployment ...
A new Swedish cohort study will follow about 10,000 mothers from a birth cohort into their forties to test whether ...
Thomas Jefferson University researchers found that women in a lung cancer screening program with the greatest smoking and cancer histories ...
A pilot study found that a 45-minute storytelling-based training significantly improved breast imaging staff's self-reported knowledge of transgender-inclusive screening practices, ...
Researchers in India have combined fuzzy logic edge detection with the KAZE feature detector to automatically identify breast masses and ...
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© 2025 Scienmag - Science Magazine