Inspec keywords: feature extraction; medical image processing; patient diagnosis; image texture; learning (artificial intelligence); neural nets; cellular biophysics; edge detection; cancer; image segmentation; discrete wavelet transforms; support vector machines; image classification

Other keywords: SVM; first-order histogram; relevant features; support vector machine; cytoplasm; single-cell images; shape-based features; ANN; local binary pattern; informative features; texture description; medical images; multiple texture-based feature methods; machine learning techniques; texture-based feature extraction; image processing; single feature; nucleus; cancerous cells; normal cells; artificial neural network; machine learning-based diseases diagnosis system; automated cervical cancer detection system; single cervical cell images; laws textural energy measures; texture feature extraction; Pap smear; India; trained features; smear images; discrete wavelet transform; grey-level cooccurrence matrix

Subjects: Patient diagnostic methods and instrumentation; Biomedical measurement and imaging; Knowledge engineering techniques; Neural computing techniques; Integral transforms; Biology and medical computing; Medical and biomedical uses of fields, radiations, and radioactivity; health physics; Function theory, analysis; Image recognition; Computer vision and image processing techniques; Integral transforms