Machine learning approach for breast cancer diagnostics
December 2018
University of Pennsylvania, Philadelphia, USA
A machine learning approach coupled with multimodal ultrasound images is applied to improve breast cancer diagnosis. Several properties obtained from the quantitative evaluation of proven solid breast lesions were used to select statistically significant features that can be valuable for diagnostics. This method not only allows to achieve high efficacy for breast cancer diagnosis, but can also identify the weakly learned cases that can disturb the correct diagnosis.
Machine learning to improve breast cancer diagnosis by multimodal ultrasound
Chandra M Sehgal
Added on: 07-30-2021
[1] https://ieeexplore.ieee.org/document/8579953/[2] https://data.jrc.ec.europa.eu/dataset/ffebe454-ed9a-47cf-8a33-8cf70c1b7d38
