Mammogram Images Thresholding for Breast Cancer Detection Using Different Thresholding Methods

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Advances in Breast Cancer Research

ISSN Print: 2168-1589
ISSN Online: 2168-1597
www.scirp.org/journal/abcr
E-mail: abcr@scirp.org

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"Mammogram Images Thresholding for Breast Cancer Detection Using Different Thresholding Methods"
written by Moumena Al-Bayati, Ali El-Zaart,
published by Advances in Breast Cancer Research, Vol.2 No.3, 2013

has been cited by the following article(s):

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[1]	Mammogram breast cancer CAD systems for mass detection and classification: a review
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[2]	Automatic Segmentation of Calcification Areas in Digital Breast Images
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[5]	Computer-aided Design and Diagnosis Method for Cancer Detection
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[6]	Breast Cancer Segmentation Methods: Current Status and Future Potentials
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[7]	Effect of image binarization thresholds on breast cancer identification in mammography images using OTSU, Niblack, Burnsen, Thepade's SBTC
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[8]	Mammogram Image Enhancement For Breast Cancer Detection
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[9]	Histogram-based approach for mass segmentation in mammograms
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[10]	Automatic elimination of the pectoral muscle in mammograms based on anatomical features
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[11]	Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques
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[12]	Intelligent 3D Analysis for Detection and Classification of Breast Cancer
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[13]	Detection and Classification of Mammographic Abnormalities
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[14]	MAMMOGRAM AND STATISTICAL T
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[15]	Comparative analysis of different techniques for breast cancer detection in Mammograms
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[16]	Pattern Recognition and Size Prediction of Microcalcification Based on Physical Characteristics by Using Digital Mammogram Images
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[17]	Метод класифікації та підрахунку клітин на зображеннях мікфотографій товстої кишки при аденокарциномі
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[18]	Breast Cancer Detection in Digital Mammograms using Histogram Bins based Otsu Thresholding
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[19]	Image Spectrum Segmentation for Lowpass and Highpass Filters
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[20]	Skin Cancer Segmentation with Entropy PAL MCET using Gaussian Distribution
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[21]	COMPUTER-ASSISTED DIAGNOSIS SYSTEM FOR ANGIOGENESIS DETECTION AND CLASSIFICATION IN COMPUTED TOMOGRAPHY LASER …
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[22]	Novel Microwave Torso Scanner for Thoracic Fluid Accumulation Diagnosis and Monitoring
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[23]	Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection
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[24]	Digital Mammogram Segmentation and Feature Extraction: A Review
	International Journal on Computer Science and Engineering (IJCSE), 2017

[25]	ANN based detection of Breast Cancer in mammograph images
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[26]	Segmentation of the Left Ventricle in Cardiac MRI Using an ELM Model
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[27]	Computer-aided diagnosis of gynaecological abnormality using B-mode ultrasound images
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[28]	Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry
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[29]	Thresholding methods review for microcalcifications segmentation on mammography images in obvious, subtle, and cluster categories
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[30]	FEATURES EXTRACTION FOR MASSES IN DIGITAL MAMMOGRAMS USING STATISTICAL AND TEXTURAL MEASURES
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[31]	Detection of Breast cancer with Hybrid image segmentation and Otsu's thresholding
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[32]	Classification of Sputum Cytology Images using Radial Bias Network for Early Detection of Lung Cancer
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[33]	CLASSIFICATION OF MAMMOGRAPHIC MASSES USING FUZZY INFERENCE SYSTEM
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[34]	Automatic Segmentation of the Left Ventricle in Cardiac MRI Using Local Binary Fitting Model and Dynamic Programming Techniques
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[2]	Computational Intelligence for Engineering and Management Applications Lecture Notes in Electrical Engineering, 2023 DOI:10.1007/978-981-19-8493-8_19

[3]	Detection of Lung Tumor Using Enhanced Image Classification 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST), 2022 DOI:10.1109/AIST55798.2022.10064975

[4]	Prediction and classification of aerosol deposition in lung using CT scan images INDUSTRIAL, MECHANICAL AND ELECTRICAL ENGINEERING, 2022 DOI:10.1063/5.0122716

[5]	Mammogram breast cancer CAD systems for mass detection and classification: a review Multimedia Tools and Applications, 2022 DOI:10.1007/s11042-022-12332-1

[6]	Automatic Segmentation of Calcification Areas in Digital Breast Images BioMed Research International, 2022 DOI:10.1155/2022/2525433

[7]	Detection of Lung Tumor Using Enhanced Image Classification 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST), 2022 DOI:10.1109/AIST55798.2022.10064975

[8]	Effect of image binarization thresholds on breast cancer identification in mammography images using OTSU, Niblack, Burnsen, Thepade's SBTC Intelligent Systems with Applications, 2021 DOI:10.1016/j.iswa.2021.200046

[9]	Breast Cancer Segmentation Methods: Current Status and Future Potentials BioMed Research International, 2021 DOI:10.1155/2021/9962109

[10]	Skin Cancer Segmentation with Entropy PAL MCET using Gaussian Distribution 2018 4th International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), 2018 DOI:10.1109/iCATccT44854.2018.9001993

[11]	Pattern Recognition and Size Prediction of Microcalcification Based on Physical Characteristics by Using Digital Mammogram Images Journal of Digital Imaging, 2018 DOI:10.1007/s10278-018-0075-x

[12]	Image Spectrum Segmentation for Lowpass and Highpass Filters 2018 4th International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), 2018 DOI:10.1109/iCATccT44854.2018.9001919

[13]	Novel Microwave Torso Scanner for Thoracic Fluid Accumulation Diagnosis and Monitoring Scientific Reports, 2017 DOI:10.1038/s41598-017-00436-w

[14]	Novel Microwave Torso Scanner for Thoracic Fluid Accumulation Diagnosis and Monitoring Scientific Reports, 2017 DOI:10.1038/s41598-017-00436-w

[15]	Proceedings of ELM-2015 Volume 1 Proceedings in Adaptation, Learning and Optimization, 2016 DOI:10.1007/978-3-319-28397-5_12

[16]	Thresholding methods review for microcalcifications segmentation on mammography images in obvious, subtle, and cluster categories 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2016 DOI:10.1109/ICEEE.2016.7751192

[17]	ANN based detection of Breast Cancer in mammograph images 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016 DOI:10.1109/ICPEICES.2016.7853734

[18]	Detection of Breast cancer with Hybrid image segmentation and Otsu's thresholding 2015 International Conference on Computing and Network Communications (CoCoNet), 2015 DOI:10.1109/CoCoNet.2015.7411244

[19]	Automatic Segmentation of the Left Ventricle in Cardiac MRI Using Local Binary Fitting Model and Dynamic Programming Techniques PLoS ONE, 2014 DOI:10.1371/journal.pone.0114760

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