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Unbalance of gender ratio at birth has been a serious phenomenon in China. To solve this problem, a scheme for ultrasonic image classification is proposed for preventing fetus gender examination with non-medical purposes. Tens of thousands of ultrasonic images with and without sexual organs are collected to establish a professional database. These images are preprocessed firstly by cropping, de-noising...
During the last years, many diagnostic methods have been proposed aiming at early detection of malignant melanoma tumor which is among the most frequent types of skin cancer. In this paper we discuss a new approach based on independent component analysis (ICA) for classification of pigmented skin lesions in dermatological images. Features that describe the structure of lesions, and show high discriminative...
Female breast cancer is the major cause of death in western countries. Efforts in computer vision have been made in order to help improving the diagnostic accuracy by radiologists. In this paper, we present a methodology that uses Independent Component Analysis (ICA) along with Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) to distinguish between Mass or Non-Mass and Benign or...
De-noising the MRS data is a key processing in analysis of spectroscopy MRS data. This paper presents an effective method based on wavelet-transform and pattern recognition technologies. Upon the characteristics of MRS data, a new wavelet basis function was designed, and a de-noising method of free induction decay (FID) data using wavelet threshold to obtain better MRS spectrums was conduced; hence,...
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