Global guidance network for breast lesion segmentation in ultrasound images

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

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

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

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions

(2019) Mattias P. Heinrich et al.   MEDICAL IMAGE ANALYSIS

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

A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition

(2018) Zhen Yu et al.   IEEE Journal of Biomedical and Health Informatics

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

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

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features

(2018) Zhen Yu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Recalibrating Fully Convolutional Networks with Spatial and Channel ‘Squeeze & Excitation’ Blocks

(2018) Abhijit Guha Roy et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2018) Baiying Lei et al.   NEUROCOMPUTING

Dense Deconvolutional Network for Skin Lesion Segmentation

(2018) Hang Li et al.   IEEE Journal of Biomedical and Health Informatics

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

Medical breast ultrasound image segmentation by machine learning

(2018) Yuan Xu et al.   ULTRASONICS

Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries

(2018) Deepak Mishra et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

(2017) Lequan Yu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

(2017) Neeraj Dhungel et al.   MEDICAL IMAGE ANALYSIS

Reducing false positives of microcalcification detection systems by removal of breast arterial calcifications

(2016) Jan-Jurre Mordang et al.   MEDICAL PHYSICS

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

(2015) Min Xian et al.   PATTERN RECOGNITION

Tumor detection in automated breast ultrasound images using quantitative tissue clustering

(2014) Woo Kyung Moon et al.   MEDICAL PHYSICS

Computer-Aided Multiview Tumor Detection for Automated Whole Breast Ultrasound

(2013) Chiao Lo et al.   ULTRASONIC IMAGING

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