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

… We propose a new breast tumor classification approach in ultrasound images. … ultrasound
image sequence, we select a set of LR frames and then use them to reconstruct an HR image. …

… to classify breast … images are: neural networks (Alvarenga et al., 2005Alvarenga AV,
Pereira WCA, Infantosi AFC, Azevedo CM. Classification of breast tumours on ultrasound images …

… classification of ovarian tumors with 2D-ultrasound images. Our dataset consists of … images
of three types of ovarian tumors, ie benign tumors, borderline tumors, and malignant tumors. …

… Deep learning based breast ultrasound image classification is studied in this work for the …
the ultrasound image classification problem in two different ways, both with and without tumor …

… In this work, we propose a stacked DPN (S-DPN) algorithm and then apply it to learn
texture feature representation for ultrasound image based tumor classification. The main …

… Among all the features we explored in this paper for breast tumor classification, the … breast
tumors. The SS can supply information on the margin and shape of the exterior of a tumor, the …

… Recent studies have illustrated that the peritumoral regions of medical images have value …
) for breast tumor classification using ultrasound (US) images without segmentation masks in …

… 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 …

… classification … classification of breast tumors in US imaging? To answer these questions,
we propose a new CNN architecture for the classification of breast tumors in Ultrasound images. …