SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification

Global guidance network for breast lesion segmentation in ultrasound images

(2021) Cheng Xue et al.   MEDICAL IMAGE ANALYSIS

Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning

(2020) Yi Wang et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Segmentation of breast ultrasound image with semantic classification of superpixels

(2020) Qinghua Huang et al.   MEDICAL IMAGE ANALYSIS

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

Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks

(2020) Woo Kyung Moon et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

(2020) Zhongyi Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

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

(2019) Zhemin Zhuang et al.   PLoS One

Automatic breast ultrasound image segmentation: A survey

(2018) Min Xian et al.   PATTERN RECOGNITION

Medical breast ultrasound image segmentation by machine learning

(2018) Yuan Xu et al.   ULTRASONICS

Automated breast cancer detection and classification using ultrasound images: A survey

(2009) H.D. Cheng et al.   PATTERN RECOGNITION