Thermal infrared imaging based breast cancer diagnosis using machine learning techniques
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Thermal infrared imaging based breast cancer diagnosis using machine learning techniques
Authors
Keywords
-
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-08-25
DOI
10.1007/s11042-020-09600-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles
- (2019) Aldenor G. Santos et al. Scientific Reports
- Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression
- (2019) Vinod Jagannath Kadam et al. JOURNAL OF MEDICAL SYSTEMS
- Deepside: A general deep framework for salient object detection
- (2019) Keren Fu et al. NEUROCOMPUTING
- Association of cervical and breast cancer mortality with socioeconomic indicators and availability of health services
- (2019) Nayara Priscila Dantas de Oliveira et al. Cancer Epidemiology
- Deep learning in mammography and breast histology, an overview and future trends
- (2018) Azam Hamidinekoo et al. MEDICAL IMAGE ANALYSIS
- Morphological operation and scaled Réyni entropy based approach for masses detection in mammograms
- (2018) P. S. Vikhe et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Breast Cancer Classification Based on Fully-Connected Layer First Convolutional Neural Networks
- (2018) Kui Liu et al. IEEE Access
- Rapid extraction of the hottest or coldest regions of medical thermographic images
- (2018) Mahnaz Etehadtavakol et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model
- (2018) Sebastien Mambou et al. SENSORS
- Breast Cancer Screening With Mammography Plus Ultrasonography or Magnetic Resonance Imaging in Women 50 Years or Younger at Diagnosis and Treated With Breast Conservation Therapy
- (2017) Nariya Cho et al. JAMA Oncology
- Advancements in Imaging Technology for Detection and Diagnosis of Palpable Breast Masses
- (2016) BARBARA M. JAEGER et al. CLINICAL OBSTETRICS AND GYNECOLOGY
- Hybrid analysis for indicating patients with breast cancer using temperature time series
- (2016) Lincoln F. Silva et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Extended hidden Markov model for optimized segmentation of breast thermography images
- (2015) E. Mahmoudzadeh et al. INFRARED PHYSICS & TECHNOLOGY
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Screening tests: a review with examples
- (2014) L. Daniel Maxim et al. INHALATION TOXICOLOGY
- Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies
- (2014) C. Bettegowda et al. Science Translational Medicine
- Wavelet-based multifractal analysis of dynamic infrared thermograms to assist in early breast cancer diagnosis
- (2014) Evgeniya Gerasimova et al. Frontiers in Physiology
- The clinical consequences of an ageing world and preventive strategies
- (2013) Bruno Lunenfeld et al. BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
- Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine
- (2010) U. Rajendra Acharya et al. JOURNAL OF MEDICAL SYSTEMS
- Thermography based breast cancer analysis using statistical features and fuzzy classification
- (2008) Gerald Schaefer et al. PATTERN RECOGNITION
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started