Automated breast ultrasound lesions detection using convolutional neural networks
Breast lesion detection using ultrasound imaging is considered an important step of
computer-aided diagnosis systems. Over the past decade, researchers have demonstrated …
computer-aided diagnosis systems. Over the past decade, researchers have demonstrated …
BUSIS: a benchmark for breast ultrasound image segmentation
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS computer-
aided diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in …
aided diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in …
Breast ultrasound region of interest detection and lesion localisation
In current breast ultrasound computer aided diagnosis systems, the radiologist preselects a
region of interest (ROI) as an input for computerised breast ultrasound image analysis. This …
region of interest (ROI) as an input for computerised breast ultrasound image analysis. This …
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 …
Automatic detection of mesiodens on panoramic radiographs using artificial intelligence
This study aimed to develop an artificial intelligence model that can detect mesiodens on
panoramic radiographs of various dentition groups. Panoramic radiographs of 612 patients …
panoramic radiographs of various dentition groups. Panoramic radiographs of 612 patients …
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution
L Panigrahi, K Verma, BK Singh - Expert Systems with Applications, 2019 - Elsevier
Ultrasound imaging is most popular technique used for breast cancer screening. Lesion
segmentation is challenging step in characterization of breast ultrasound (US) based …
segmentation is challenging step in characterization of breast ultrasound (US) based …
[图书][B] A benchmark for breast ultrasound image segmentation (BUSIS)
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Computer-
Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been proposed …
Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been proposed …
A brief review on breast carcinoma and deliberation on current non invasive imaging techniques for detection
R Vairavan, O Abdullah, PB Retnasamy… - Current Medical …, 2019 - ingentaconnect.com
Background: Breast carcinoma is a life threatening disease that accounts for 25.1% of all
carcinoma among women worldwide. Early detection of the disease enhances the chance …
carcinoma among women worldwide. Early detection of the disease enhances the chance …
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
In recent years, convolutional neural networks for semantic segmentation of breast
ultrasound (BUS) images have shown great success; however, two major challenges still …
ultrasound (BUS) images have shown great success; however, two major challenges still …
Automatic detection of ultrasound breast lesions: a novel saliency detection model based on multiple priors
H Fang, N Cai, J Zhou, Y Bai, J Li, H Wang - Signal, Image and Video …, 2022 - Springer
Due to the complex tissue structure of the breast, breast ultrasound (BUS) images exhibit the
characteristics of low-contrast, lesion boundary blurring. Therefore, accurately automatic …
characteristics of low-contrast, lesion boundary blurring. Therefore, accurately automatic …