… Ultrasound imaging is one of the most frequently used diagnosis tools to detect and classify
… beneficial means for breast cancer detection and classification. Generally, a CAD system …

… The automatic classification of cancer tumor is to optimize the efficiency of identifying the
breast tumor in ultrasound images. The balance between benign and malignant is done by a …

… of existing tumors in US images has been considered … classification system for hepatic
lesions in US images exhibited higher performance than the segmentation only and classification …

… classify breast lesions in ultrasound images. Traditionally, the process of CAD for breast
lesions classification … region of interests (ROI); ii) classify the located region of interests (ROI) to …

… tumor segmentation and classification in ultrasound images. In this paper, half-contour features
are proposed to classify benign and malignant breast tumors … half of the tumor contour is …

… a CAD technique that uses ultrasound images of the ovary and image mining algorithms
to accurately classify benign and malignant ovarian tumor images. We extracted texture …

… The CNN architecture is commonly used to classify images in CAD … the image affecting
classification results. Therefore, we used the different image information of the same tumor image …

… changes that manifest as textural changes in the image, and (3) a classification module
that uses the texture features in classifiers to detect the presence or absence of malignancy. …

… The ultrasound images were preprocessed by wavelet … ultrasound images to classify
breast tumors. Area under receiving operating curve (AUC), sensitivity, specificity, classification …

… The processing flow of the breast tumor classification network illustrates the steps as … tumor
classification network in this study. (i) We first used DC-UNet to extract the mask of the tumor. (…