C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation

A novel convolutional neural network for kidney ultrasound images segmentation

(2022) Gongping Chen et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Convolutional neural networks for breast cancer detection in mammography: A survey

(2021) Leila Abdelrahman et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Global guidance network for breast lesion segmentation in ultrasound images

(2021) Cheng Xue et al.   MEDICAL IMAGE ANALYSIS

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review

(2021) Jun Bai et al.   MEDICAL IMAGE ANALYSIS

Segmentation information with attention integration for classification of breast tumor in ultrasound image

(2021) Yaozhong Luo et al.   PATTERN RECOGNITION

Two-stage ultrasound image segmentation using U-Net and test time augmentation

(2020) Mina Amiri et al.   International Journal of Computer Assisted Radiology and Surgery

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

(2020) Essam H. Houssein et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Learning in Medical Ultrasound Analysis: A Review

(2019) Shengfeng Liu et al.   Engineering

An RDAU-NET model for lesion segmentation in breast ultrasound images

(2019) Zhemin Zhuang et al.   PLoS One

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

(2019) Shi Yin et al.   MEDICAL IMAGE ANALYSIS

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

(2019) Zongwei Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

(2018) Huazhu Fu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic breast ultrasound image segmentation: A survey

(2018) Min Xian et al.   PATTERN RECOGNITION

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

(2018) Moi Hoon Yap et al.   IEEE Journal of Biomedical and Health Informatics

Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder–decoder network

(2018) Baiying Lei et al.   NEUROCOMPUTING

Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

(2018) Yuzhou Hu et al.   MEDICAL PHYSICS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Breast ultrasound image segmentation: a survey

(2017) Qinghua Huang et al.   International Journal of Computer Assisted Radiology and Surgery

Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains

(2015) Min Xian et al.   PATTERN RECOGNITION

Completely Automated Segmentation Approach for Breast Ultrasound Images Using Multiple-Domain Features

(2012) Juan Shan et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images

(2009) Bo Liu et al.   PATTERN RECOGNITION