Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network.
Maitreyee DeySoumya Prakash RanaRiccardo LoretoniMichele DurantiLorenzo SaniAlessandro VispaGiovanni RaspaMohammad GhavamiSandra DudleyGianluigi TiberiPublished in: PloS one (2022)
MammoWave is a microwave imaging device for breast lesion detection, employing two antennas which rotate azimuthally (horizontally) around the breast. The antennas operate in the 1-9 GHz band and are set in free space, i.e., pivotally, no matching liquid is required. Microwave images, subsequently obtained through the application of Huygens Principle, are intensity maps, representing the homogeneity of the dielectric properties of the breast tissues under test. In this paper, MammoWave is used to realise tissues dielectric differences and localise lesions by segmenting microwave images adaptively employing pulse coupled neural network (PCNN). Subsequently, a non-parametric thresholding technique is modelled to differentiate between breasts having no radiological finding (NF) or benign (BF) and breasts with malignant finding (MF). Resultant findings verify that automated breast lesion localization with microwave imaging matches the gold standard achieving 81.82% sensitivity in MF detection. The proposed method is tested on microwave images acquired from a feasibility study performed in Foligno Hospital, Italy. This study is based on 61 breasts from 35 patients; performance may vary with larger number of datasets and will be subsequently investigated.
Keyphrases
- neural network
- deep learning
- radiofrequency ablation
- high resolution
- convolutional neural network
- gene expression
- blood pressure
- end stage renal disease
- machine learning
- healthcare
- optical coherence tomography
- high throughput
- newly diagnosed
- ejection fraction
- peritoneal dialysis
- cell proliferation
- emergency department
- patient reported outcomes
- rna seq
- real time pcr
- functional connectivity