Breast Imaging: Page 44

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
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
2017 11 07 18 37 9362 Roadies Ribbon 400
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
Deep learning with breast MRI boosts 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 5, 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 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.
October 31, 2017
Deep learning with breast MRI boosts 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.
October 31, 2017
Breast MRI performs well across many risk factors
By Kate Madden Yee
Tuesday, November 28 | 8:50 a.m.-9:00 a.m. | RC315-02 | Arie Crown TheaterScreening breast MRI is an effective tool for women who carry the BRCA mutation and also for those with a history of breast cancer and/or high-risk lesions, according to research being presented Tuesday morning.
October 31, 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.
October 31, 2017
PDC Healthcare debuts DBT markers
By AuntMinnie.com staff writers
Healthcare identification technology developer PDC Healthcare has introduced a new line of Spee-D-Mark skin markers designed for use with digital breast tomosynthesis (DBT) exams.
October 30, 2017
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