Faculty and students at the Cockrell School of Engineering at The University of Texas at Austin are developing ways for cancer patients and children born with facial deformities to make more informed decisions about which ...
Jul 13, 2011
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A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions.
Dec 1, 2021
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UCLA researchers have developed an artificial intelligence system that could help pathologists read biopsies more accurately and to better detect and diagnose breast cancer.
Aug 9, 2019
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A new paper in the Journal of the National Cancer Institute, indicates that MRIs are cost effective for detecting breast cancer for women with very dense breasts detected by mammography.
Sep 29, 2021
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The addition of a screening ultrasound or magnetic resonance imaging (MRI) to annual mammography in women with an increased risk of breast cancer and dense breast tissue resulted in a higher rate of detection of incident ...
Apr 3, 2012
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(HealthDay)—Single-screening breast magnetic resonance imaging (MRI) detects 18.1 additional cancers after negative findings with mammography and ultrasonography (US) per 1,000 women with a history of breast cancer, according ...
Aug 19, 2014
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AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists from the German Cancer Research Center (DKFZ) have now presented a new method for configuring self-learning ...
Dec 7, 2020
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An open-access article in ARRS' American Journal of Roentgenology (AJR) describes the clinical and imaging features of axillary adenopathy detected during screening or diagnostic breast imaging after recent coronavirus disease ...
Feb 24, 2021
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A study revealed at SNM's 58th Annual Meeting is comparing the breast-tumor detection capabilities of two very different imaging technologies—breast-specific gamma imaging (BSGI), which provides functional images of ...
Jun 6, 2011
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(HealthDay)—A deep learning algorithm can detect metastases in sections of lymph nodes from women with breast cancer; and a deep learning system (DLS) has high sensitivity and specificity for identifying diabetic retinopathy, ...
Dec 12, 2017
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