ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images

Multiscale fused network with additive channel–spatial attention for image segmentation

(2021) Chengling Gao et al.   KNOWLEDGE-BASED SYSTEMS

MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation

(2021) Run Su et al.   Frontiers in Genetics

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks

(2020) Shengzhou Xu et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network

(2020) Michal Byra et al.   Biomedical Signal Processing and Control

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework

(2020) Vivek Kumar Singh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network

(2019) Andrik Rampun et al.   MEDICAL IMAGE ANALYSIS

AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

(2019) Hui Sun et al.   PHYSICS IN MEDICINE AND BIOLOGY

Multiscale receptive field based on residual network for pancreas segmentation in CT images

(2019) Feiyan Li et al.   Biomedical Signal Processing and Control

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

(2018) Mohammed A. Al-masni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

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

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

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

A deep learning method for classifying mammographic breast density categories

(2017) Aly A. Mohamed et al.   MEDICAL PHYSICS

A curated mammography data set for use in computer-aided detection and diagnosis research

(2017) Rebecca Sawyer Lee et al.   Scientific Data

Breast Ultrasound Image Classification Based on Multiple-Instance Learning

(2012) Jianrui Ding et al.   JOURNAL OF DIGITAL IMAGING

Automatic mass segmentation on mammograms combining random walks and active contour

(2012) Xin Hao et al.   Journal of Zhejiang University-SCIENCE C-Computers & Electronics

Mammography segmentation with maximum likelihood active contours

(2012) Peyman Rahmati et al.   MEDICAL IMAGE ANALYSIS

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY

Computer-Aided Diagnosis for the Classification of Breast Masses in Automated Whole Breast Ultrasound Images

(2011) Woo Kyung Moon et al.   ULTRASOUND IN MEDICINE AND BIOLOGY