A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
出版年份 2020 全文链接
标题
A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
作者
关键词
-
出版物
BMC BIOINFORMATICS
Volume 21, Issue S2, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-13
DOI
10.1186/s12859-020-3358-4
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Annual Report to the Nation on the Status of Cancer, part I: National cancer statistics
- (2018) Kathleen A. Cronin et al. CANCER
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform
- (2017) Kai Hu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Topological Modeling and Classification of Mammographic Microcalcification Clusters
- (2015) Zhili Chen et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer
- (2015) Shradhananda Beura et al. NEUROCOMPUTING
- Computer aided detection system for micro calcifications in digital mammograms
- (2014) Hayat Mohamed et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Modelling mammographic microcalcification clusters using persistent mereotopology
- (2014) Harry Strange et al. PATTERN RECOGNITION LETTERS
- Wavelet-Based 3D Reconstruction of Microcalcification Clusters from Two Mammographic Views: New Evidence That Fractal Tumors Are Malignant and Euclidean Tumors Are Benign
- (2014) Kendra A. Batchelder et al. PLoS One
- Mammographic images segmentation based on chaotic map clustering algorithm
- (2014) Marius Iacomi et al. BMC MEDICAL IMAGING
- The Relationship of Mammographic Density and Age: Implications for Breast Cancer Screening
- (2012) Cristina M. Checka et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform
- (2012) Wushuai Jian et al. Biomedical Engineering Online
- Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
- (2012) Afsaneh Jalalian et al. CLINICAL IMAGING
- A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine
- (2012) E. Malar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Digital Image Processing Technique for Breast Cancer Detection
- (2012) R. Guzmán-Cabrera et al. INTERNATIONAL JOURNAL OF THERMOPHYSICS
- Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review
- (2012) Edward Azavedo et al. BMC MEDICAL IMAGING
- Discovering Mammography-based Machine Learning Classifiers for Breast Cancer Diagnosis
- (2011) Raúl Ramos-Pollán et al. JOURNAL OF MEDICAL SYSTEMS
- ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging
- (2011) Jinchang Ren KNOWLEDGE-BASED SYSTEMS
- Computer-Aided Diagnosis and Artificial Intelligence in Clinical Imaging
- (2011) Junji Shiraishi et al. SEMINARS IN NUCLEAR MEDICINE
- Breast Tissue Composition and Susceptibility to Breast Cancer
- (2010) N. F. Boyd et al. JNCI-Journal of the National Cancer Institute
- CADx of mammographic masses and clustered microcalcifications: A review
- (2009) Matthias Elter et al. MEDICAL PHYSICS
- Speeded-Up Robust Features (SURF)
- (2008) Herbert Bay et al. COMPUTER VISION AND IMAGE UNDERSTANDING
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