Artificial Intelligence Helps Doctors Detect Breast Cancer Better

Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach

Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can significantly reduce mortality rates. Mammograms are widely used for screening, but manual readings can lead to misdiagnosis. Computer-assisted diagnosis can help physicians make faster, more accurate judgments, which benefits patients. However, segmenting and classifying breast masses in mammograms is challenging due to their similar shapes to th…

Big advancements in breast cancer detection and treatment

Breast cancer is the most common cancer for women in New Hampshire and across America.

AI helps radiologists keep an eye on breast cancer detection

Radiologists who used artificial intelligence (AI) to assist in reading mammograms were able to devote more attention to suspicious areas, according to a recent study published in the journal Radiology.  Nurse provides assistance to a patient undergoing a mammogram. Credit: Tom Werner / DigitalVision / Getty Images Plus. A mammogram is an X-ray of the breast that can be used to detect abnormalities. These breast screenings are one of the most ef…

Artificial intelligence enhances radiologists’ accuracy in breast cancer detection

Artificial intelligence (AI) improves breast cancer detection accuracy for radiologists when reading screening mammograms, helping them devote more of their attention to suspicious areas, according to a study published today in Radiology, a journal of the Radiological Society of North America.

Artificial intelligence helps doctors detect breast cancer better

Researchers found that AI improves breast cancer detection accuracy for radiologists.

AI helps radiologists spot more lesions in mammograms

Artificial intelligence (AI) improves breast cancer detection accuracy for radiologists when reading screening mammograms, helping them devote more of their attention to suspicious areas, according to a study published in Radiology.