Colorectal Cancer Diagnostic Algorithm Based on Sub-Patch Weight Color Histogram in Combination of Improved Least Squares Support Vector Machine for Pathological Image

In order to improve the diagnostic accuracy of colon cancer, a novel classification algorithm based on sub-patch weight color histogram and improved SVM is proposed, which has good approximation ability for complex pathological image. Our proposed algorithm combines wavelet kernel SVM with color his...

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Veröffentlicht in:	Journal of medical systems 2019-09, Vol.43 (9), p.306-9, Article 306
Hauptverfasser:	Yang, Kai, Zhou, Bi, Yi, Fei, Chen, Yan, Chen, Yingsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cancer Classification Colon Colon cancer Color Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - diagnosis Colorectal Neoplasms - pathology Cytodiagnosis - methods Diagnostic systems Distributed Analytics and Deep Learning in Health Care Feature extraction Health Informatics Health Sciences Histograms Humans Image & Signal Processing Image classification Image Processing, Computer-Assisted - methods Kernels Least squares Magnetic Resonance Imaging - methods Medical diagnosis Medical imaging Medicine Medicine & Public Health Morlet wavelet Pattern Recognition, Automated - methods Statistics for Life Sciences Support Vector Machine Support vector machines Weight
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