Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Journal article
Rana, S., Dey, M, Tiberi, G, Sani, L, Vispa, A, Raspa, G, Duranti, M, Ghavami, M and Dudley, S (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports.
Authors | Rana, S., Dey, M, Tiberi, G, Sani, L, Vispa, A, Raspa, G, Duranti, M, Ghavami, M and Dudley, S |
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Abstract | Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing technique that can differentiate healthy and non-healthy tissues by exploiting their dielectric properties. In this paper, a microwave apparatus for breast lesion detection is used to accumulate clinical data from subjects undergoing breast examinations at the Department of Diagnostic Imaging, Perugia Hospital, Perugia, Italy. This paper presents the first ever clinical demonstration and comparison of a |
Keywords | Machine Learning; Lesion Detection; Microwave Breast Imaging |
Year | 2019 |
Journal | Scientific Reports |
Publisher | Springer Nature Publishing |
Publication process dates | |
Deposited | 08 Jul 2019 |
Accepted | 04 Jul 2019 |
Accepted author manuscript | License CC BY 4.0 |
https://openresearch.lsbu.ac.uk/item/865z7
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