… breast ultrasound image classification by combining deep features with conventional
handcrafted features to classify the tumors… that achieves the highest classification performance. …

… In this paper, we propose a novel breast tumor classification scheme for ultrasound images
based on combining segmentation information and the attention integration method. Different …

… breast ultrasound image classification is studied in this work for the early detection of breast
cancer. A … We have investigated the ultrasound image classification problem in two different …

… breast cancer diagnosis. Hence, this paper examines various techniques and methods for
diagnosing breast cancer… In this section, different methods for the classification of BUS images …

… We propose a new breast tumor classification approach in ultrasound images. … benign/malignant
tumor classification in breast ultrasound images. Given an ultrasound image sequence, …

… With the aim to increase specificity of breast cancer image diagnostics, breast ultrasound
(… Ultrasound is more sensitive for detecting invasive cancer in dense breasts (Skaane, 1999…

… (BUS) image remains a very challenging task. Besides, BUS image segmentation is a … In
this paper, we proposed a novel method to segment the breast tumor via semantic classification …

… In this study, we investigate three state-of-the-art network structures for breast ultrasound
tumor segmentation, Patch-based U-Net [26], transfer learning approach with a pretrained FCN-…

… for differentiation between breast tumor types from ultrasound images processed by
contrast … classifier for differentiating between breast tumors using ultrasound images pre-processed …

… of interest, H, or the Hurst coefficient, which can be described as texture features, when
we applied it to classify breast tumor images. Considering the topological dimension T d , for …