Joint weakly and semi-supervised deep learning for localization and classification of masses in breast ultrasound images
We propose a framework for localization and classification of masses in breast ultrasound
images. We have experimentally found that training convolutional neural network-based …
images. We have experimentally found that training convolutional neural network-based …
Saliency map-guided hierarchical dense feature aggregation framework for breast lesion classification using ultrasound image
X Di, S Zhong, Y Zhang - Computer Methods and Programs in Biomedicine, 2022 - Elsevier
Deep learning methods, especially convolutional neural networks, have advanced the
breast lesion classification task using breast ultrasound (BUS) images. However …
breast lesion classification task using breast ultrasound (BUS) images. However …
State-of-the-art of computer-aided detection/diagnosis (CAD)
This paper summarizes the presentations given in the special ICMB2010 session on state-of-
the-art of computer-aided detection/diagnosis (CAD). The topics are concerned with the …
the-art of computer-aided detection/diagnosis (CAD). The topics are concerned with the …
3D Automated Breast Ultrasound
CKS Park - 3D Ultrasound, 2023 - taylorfrancis.com
Automated breast ultrasound (ABUS) is a three-dimensional (3D) imaging technique with
accelerating importance for breast cancer screening and diagnostic imaging in …
accelerating importance for breast cancer screening and diagnostic imaging in …
Ultrasound based computer aided diagnosis of breast cancer: Evaluation of a new feature of mass central regularity degree
A Al-Yousef, S Samarasinghe - 2011 - researcharchive.lincoln.ac.nz
Breast cancer is the second leading cause of death after lung cancer in women all over the
world. The survival rate of breast cancer patients depends on the stage of diagnosis; …
world. The survival rate of breast cancer patients depends on the stage of diagnosis; …
Improved ultrasound based computer aided diagnosis system for breast cancer incorporating a new feature of mass central regularity degree (CRD)
A Al-Yousef, S Samarasinghe - Artificial Neural Network Modelling, 2016 - Springer
Ultrasound is one of the most frequently used methods for early detection of breast cancer.
Currently, the accuracy of Computer Aided Diagnosis (CAD) systems based on ultrasound …
Currently, the accuracy of Computer Aided Diagnosis (CAD) systems based on ultrasound …
Statistical temporal changes for breast cancer detection: A preliminary study
In this paper, we propose a statistical temporal change scheme for early breast cancer
detection. Temporal mammographic data have been found useful to detect changes in the …
detection. Temporal mammographic data have been found useful to detect changes in the …
Classifying breast masses in volumetric whole breast ultrasound data: A 2.5-dimensional approach
GN Lee, T Okada, D Fukuoka, C Muramatsu… - … Workshop, IWDM 2010 …, 2010 - Springer
The aim of this paper is to investigate a 2.5-dimensional approach in classifying masses as
benign or malignant in volumetric anisotropic voxel whole breast ultrasound data. In this …
benign or malignant in volumetric anisotropic voxel whole breast ultrasound data. In this …
知的クラスター創成事業(岐阜・大垣地域)「ロボティック先端医療クラスター」 における画像診断支援システムの開発
藤田広志, 内山良一, 畑中裕司, 福岡大輔 - 医用画像情報学会雑誌, 2010 - jstage.jst.go.jp
抄録 The need for utilizing image diagnosis has become important because of the recent
increase in the number of screening cases in the aging population and the number of …
increase in the number of screening cases in the aging population and the number of …