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Womens Imaging
Breast: Page 159
Deep learning with breast MRI helps with lesion detection
By
Kate Madden Yee
Tuesday, November 28 | 11:20 a.m.-11:30 a.m. | RC315-14 | Arie Crown TheaterA deep-learning method using multiparametric breast MRI improves automated detection and characterization of breast lesions, according to research being presented at this Tuesday morning session.
November 8, 2017
Breast MRI neural network predicts treatment response
By
Kate Madden Yee
Monday, November 27 | 11:50 a.m.-12:00 p.m. | RC215-17 | Arie Crown TheaterIn this session, researchers will discuss how neural networks based on a breast MRI tumor dataset can help clinicians predict patient response to neoadjuvant chemotherapy.
November 8, 2017
IMV: Imaging sites happiest with mammo systems
By
AuntMinnie.com staff writers
Medical imaging facilities are most satisfied with the performance of their mammography systems, according to the results of a customer satisfaction survey performed by market research firm IMV Medical Information Division. Meanwhile, CT scored the highest in terms of OEM service satisfaction.
November 6, 2017
Deep-learning software boosts breast US performance
By
Kate Madden Yee
Tuesday, November 28 | 3:40 p.m.-3:50 p.m. | SSJ02-05 | Room E450AWhen it comes to identifying breast cancer, deep-learning software for breast ultrasound achieves diagnostic accuracy comparable to that of radiologists, Swiss researchers have found.
November 6, 2017
CEUS can reduce breast biopsy rates
By
Kate Madden Yee
Tuesday, November 28 | 3:00 p.m.-3:10 p.m. | SSJ02-01 | Room E450AIn this session, researchers will discuss how using contrast-enhanced ultrasound (CEUS) to evaluate BI-RADS 4 or 5 breast lesions can reduce biopsy rates and increase cancer-to-biopsy yield.
November 6, 2017
Real-time breast US after second opinion averts biopsy
By
Kate Madden Yee
Tuesday, November 28 | 11:40 a.m.-11:50 a.m. | SSG01-08 | Room E451AReal-time ultrasound scans performed after a second-opinion review of outside breast ultrasound studies find additional cancers and high-risk lesions and also prevents unnecessary biopsies, researchers from Memorial Sloan Kettering Cancer Center have found.
November 6, 2017
Do technologists have more recalls for breast US exams?
By
Kate Madden Yee
Monday, November 27 | 3:50 p.m.-4:00 p.m. | SSE01-06 | Arie Crown TheaterDo screening breast ultrasound scans performed by technologists in women with dense tissue lead to more recalls? Find out at this Monday afternoon session.
November 6, 2017
Breast ultrasound's cancer detection rate similar after DBT, mammo
By
Kate Madden Yee
Monday, November 27 | 3:00 p.m.-3:10 p.m. | SSE01-01 | Arie Crown TheaterScreening breast ultrasound's cancer detection rate in women with dense tissue is comparable after digital mammography versus after digital breast tomosynthesis (DBT), according to a study conducted at Brown University.
November 6, 2017
Cancer detection rate of screening ultrasound increases over time
By
Kate Madden Yee
Monday, November 27 | 12:15 p.m.-12:45 p.m. | BR225-SD-MOA5 | Lakeside, BR Community, Station 5Over time, the cancer detection rate of screening breast ultrasound increases -- without an increase in biopsies, researchers at Elizabeth Wende Breast Care in Rochester, NY, have found.
November 6, 2017
CureMetrix adds to medical advisory board
By
AuntMinnie.com staff writers
Breast imaging computer-aided diagnosis software developer CureMetrix has signed on new members to its medical advisory board.
November 5, 2017
Breast MRI neural networks predict recurrence scores
By
Kate Madden Yee
Friday, December 1 | 11:20 a.m.-11:30 a.m. | SST01-06 | Room E450BResearchers in New York have found that deep-learning networks can be trained with breast MRI data to predict Oncotype DX recurrence scores.
November 5, 2017
Finding breast cancer: How do computers compare with radiologists?
By
Kate Madden Yee
Wednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK02-02 | Room E451AHow do deep-learning algorithms compare with radiologists when it comes to finding cancer on mammography? Find out in this Wednesday morning presentation.
November 5, 2017
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