… 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 …

… In this paper, we explored the application of CNN for the task of tumor classification using
BUS images. We trained two pretrained models in two different ways: using the existing …

… ultrasound images have been used to increase the specificity of breast cancer image …
performance of breast cancer lesion in ultrasound images. By generalization, we mean the …

… for classification of breast tumors in ultrasound (US) images, … consists of 641 images,
histopathologically classified in two … To have a better estimate of model’s classification …

… Tumor Classification In breast ultrasound images, the traditional breast tumor classification
technology mainly includes the following four steps [22, 23]: image preprocessing, image …

… 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 …