Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features
出版年份 2015 全文链接
标题
Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features
作者
关键词
-
出版物
MEDICAL PHYSICS
Volume 42, Issue 6Part1, Pages 3024-3035
出版商
Wiley
发表日期
2015-05-27
DOI
10.1118/1.4921123
参考文献
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。- Tumour volume doubling time of molecular breast cancer subtypes assessed by serial breast ultrasound
- (2014) Eun Bi Ryu et al. EUROPEAN RADIOLOGY
- Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study
- (2014) Shannon C. Agner et al. RADIOLOGY
- Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis
- (2013) Min-Chun Yang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Breast Cancer Detected with Screening US: Reasons for Nondetection at Mammography
- (2013) Min Sun Bae et al. RADIOLOGY
- Optimal strategies for the treatment of metastatic triple-negative breast cancer with currently approved agents
- (2012) F. Andre et al. ANNALS OF ONCOLOGY
- Imaging of triple-negative breast cancer
- (2012) B. E. Dogan et al. ANNALS OF ONCOLOGY
- Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound
- (2012) W. Gomez et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images
- (2011) Hyun-chong Cho et al. MEDICAL PHYSICS
- Breast Tumor Classification Using Fuzzy Clustering for Breast Elastography
- (2011) Woo Kyung Moon et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- 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
- Repeatability in computer-aided diagnosis: Application to breast cancer diagnosis on sonography
- (2010) Karen Drukker et al. MEDICAL PHYSICS
- Triple-Negative Breast Cancer
- (2010) William D. Foulkes et al. NEW ENGLAND JOURNAL OF MEDICINE
- Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection
- (2009) A. Takemura et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A new automated method for the segmentation and characterization of breast masses on ultrasound images
- (2009) Jing Cui et al. MEDICAL PHYSICS
- Breast US Computer-aided Diagnosis System: Robustness across Urban Populations in South Korea and the United States
- (2009) Nicholas P. Gruszauskas et al. RADIOLOGY
- Triple-Negative Breast Cancer: Correlation between MR Imaging and Pathologic Findings
- (2009) Takayoshi Uematsu et al. RADIOLOGY
- Quantitative Analysis of Lesion Morphology and Texture Features for Diagnostic Prediction in Breast MRI
- (2008) Ke Nie et al. ACADEMIC RADIOLOGY
- Texture classification using invariant ranklet features
- (2008) Matteo Masotti et al. PATTERN RECOGNITION LETTERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More