… From literature review, it is found that SVM is most frequently used classifier for classification
of breast tumors in ultrasound images. Thus, we compared the performance of proposed …

… .) before the US and MRI examinations; 2) invisible tumor or unclear tumor border in an
ultrasound image; 3) interference marks in the ultrasound image; or 4) incomplete clinical data. …

… system for detecting four categories of kidney images like normal, cyst, stone, and tumor.
As per our knowledge, we are the first to validate the proposed method in the variants of three …

… the automatic segmentation and classification of breast tumors from ultrasound images.
The … and a dense branch for the classification of tumors. For efficient classification, multi-scale …

… The support vector machine (SVM) is further applied for the tumor classification. To verify
the efficiency of the proposed PCBP texture descriptor, we compare the PCBP with other three …

… In this paper we propose a new algorithm for tumor segmentation. No assumption … ultrasound
image data set. Other novelties include that we build a multiscale representation for tumor …

… of breast tumor classification in ultrasound images, the breast ROI area of ultrasound images
… automatic detection of breast tumors in ultrasound images will be research in our next work. …

… ultrasound images of benign and malignant breast tumors. We conclude H-scan ultrasound
imaging can be used as a new method for classifying benign and malignant breast tumors. …

… ultrasound images (… classification of tumors in USIs. The CAD systems are designed in
such a way that they provide recommendations to help radiologists in diagnosing breast tumors …

… the rules for classification. However, a large amount of ultrasound images are not easy to
be … How to build a highperformance CAD system with limited image resources is therefore a …