相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Multiscale fused network with additive channel-spatial attention for image segmentation
Chengling Gao et al.
KNOWLEDGE-BASED SYSTEMS (2021)
MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation
Run Su et al.
FRONTIERS IN GENETICS (2021)
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images☆
Yue Zhou et al.
MEDICAL IMAGE ANALYSIS (2021)
Global guidance network for breast lesion segmentation in ultrasound images
Cheng Xue et al.
MEDICAL IMAGE ANALYSIS (2021)
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
Vivek Kumar Singh et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Segmentation of breast ultrasound image with semantic classification of superpixels
Qinghua Huang et al.
MEDICAL IMAGE ANALYSIS (2020)
Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network
Michal Byra et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound
Baiying Lei et al.
MEDICAL IMAGE ANALYSIS (2020)
ATTENTION-ENRICHED DEEP LEARNING MODEL FOR BREAST TUMOR SEGMENTATION IN ULTRASOUND IMAGES
Aleksandar Vakanski et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2020)
STAN: SMALL TUMOR-AWARE NETWORK FOR BREAST ULTRASOUND IMAGE SEGMENTATION
Bryar Shareef et al.
2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020) (2020)
Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: The Oslo Tomosynthesis Screening Trial
Per Skaane et al.
RADIOLOGY (2019)
Evolutionary optimized fuzzy reasoning with mined diagnostic patterns for classification of breast tumors in ultrasound
Qinghua Huang et al.
INFORMATION SCIENCES (2019)
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
Moi Hoon Yap et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)
Autofocus Layer for Semantic Segmentation
Yao Qin et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, PT III (2018)
Brain tumor segmentation with Deep Neural Networks
Mohammad Havaei et al.
MEDICAL IMAGE ANALYSIS (2017)
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
Michiel Kallenberg et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Automated 3D ultrasound image segmentation to aid breast cancer image interpretation
Peng Gu et al.
ULTRASONICS (2016)
A local fuzzy thresholding methodology for multiregion image segmentation
Santiago Aja-Fernandez et al.
KNOWLEDGE-BASED SYSTEMS (2015)
Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains
Min Xian et al.
PATTERN RECOGNITION (2015)
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework
Albert Gubern-Merida et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2015)
Optimized graph-based segmentation for ultrasound images
Qinghua Huang et al.
NEUROCOMPUTING (2014)
Computer-Aided Multiview Tumor Detection for Automated Whole Breast Ultrasound
Chiao Lo et al.
ULTRASONIC IMAGING (2014)
Semi-automatic Breast Ultrasound Image Segmentation Based on Mean Shift and Graph Cuts
Zhuhuang Zhou et al.
ULTRASONIC IMAGING (2014)
Multi-feature gradient vector flow snakes for adaptive segmentation of the ultrasound images of breast cancer
Annupan Rodtook et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2013)
The Relationship of Mammographic Density and Age: Implications for Breast Cancer Screening
Cristina M. Checka et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2012)
A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering
Juan Shan et al.
MEDICAL PHYSICS (2012)
A robust graph-based segmentation method for breast tumors in ultrasound images
Qing-Hua Huang et al.
ULTRASONICS (2012)
COMPLETELY AUTOMATED SEGMENTATION APPROACH FOR BREAST ULTRASOUND IMAGES USING MULTIPLE-DOMAIN FEATURES
Juan Shan et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2012)
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Chunming Li et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)
An evaluation metric for image segmentation of multiple objects
Mark Polak et al.
IMAGE AND VISION COMPUTING (2009)
A novel algorithm for initial lesion detection in ultrasound breast images
Moi Hoon Yap et al.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2008)
Development of a fully automatic scheme for detection of masses in whole breast ultrasound images
Yuji Ikedo et al.
MEDICAL PHYSICS (2007)
Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors
RF Chang et al.
BREAST CANCER RESEARCH AND TREATMENT (2005)
Computer-aided diagnosis of solid breast nodules: Use of an artificial neural network based on multiple sonographic features
S Joo et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2004)
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
A Madabhushi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2003)
Cell-based dual snake model: A new approach to extracting highly winding boundaries in the ultrasound images
CM Chen et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2002)
Segmentation of ultrasound B-mode images with intensity inhomogeneity correction
GF Xiao et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2002)
分享论文
