[HTML][HTML] Breast tumor classification in ultrasound images using combined deep and handcrafted features
… ultrasound image classification by combining deep features with conventional handcrafted
features to classify the tumors… achieves the highest classification performance. Furthermore, …
features to classify the tumors… achieves the highest classification performance. Furthermore, …
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods
… 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. …
image sequence, we select a set of LR frames and then use them to reconstruct an HR image. …
[HTML][HTML] Breast tumor classification in ultrasound images using support vector machines and neural networks
CDL Nascimento, SDS Silva, TA Silva… - Research on …, 2016 - SciELO Brasil
… 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 …
Pereira WCA, Infantosi AFC, Azevedo CM. Classification of breast tumours on ultrasound images …
Deep learning for ovarian tumor classification with ultrasound images
C Wu, Y Wang, F Wang - … Information Processing–PCM 2018: 19th Pacific …, 2018 - Springer
… 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. …
of three types of ovarian tumors, ie benign tumors, borderline tumors, and malignant tumors. …
Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks
… 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 …
the ultrasound image classification problem in two different ways, both with and without tumor …
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset
… 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 …
texture feature representation for ultrasound image based tumor classification. The main …
Breast tumor classification using different features of quantitative ultrasound parametric images
SM Hsu, WH Kuo, FC Kuo, YY Liao - International journal of computer …, 2019 - Springer
… 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 …
tumors. The SS can supply information on the margin and shape of the exterior of a tumor, the …
FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images
… 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 …
) for breast tumor classification using ultrasound (US) images without segmentation masks in …
Segmentation information with attention integration for classification of breast tumor in ultrasound image
Y Luo, Q Huang, X Li - Pattern Recognition, 2022 - Elsevier
… 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 …
based on combining segmentation information and the attention integration method. Different …
Breast lesion classification in ultrasound images using deep convolutional neural network
B Zeimarani, MGF Costa, NZ Nurani, SR Bianco… - IEEE …, 2020 - ieeexplore.ieee.org
… 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. …
we propose a new CNN architecture for the classification of breast tumors in Ultrasound images. …
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