Breast thermography based unsupervised anisotropic- feature transformation method for automatic breast cancer detection

The most crucial Infrared (IR) cameras provide temperature-sensitive images and chest vascular transitions. Hotspots can be used to emphasize that these images reveal new subtle changes due to pathology. The resulting images show clusters that appear to vary in shape and spatial distribution but car...

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Veröffentlicht in:	Microprocessors and microsystems 2020-09, Vol.77, p.1, Article 103137
Hauptverfasser:	Gomathi, P., Muniraj, C., Periasamy, P.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic noise Background noise Benign Breast cancer Clusters Diagnostic software Diagnostic systems Image classification Image quality Information retrieval Infrared cameras Infrared Thermography Invariants Malignant Mammography Medical imaging Noise reduction Spatial distribution Thermography Transformations Unsupervised Anisotropic- Feature Transformation
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