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Breast cancer imaging in South Africa in 2018

Peter K. Schoub
2018 South African Journal of Radiology  
with this SAJR issue is to provide a platform for local radiologists to publish breast imaging articles, and, in particular, to identify various aspects of breast radiology that are of importance in the  ...  Breast cancer is the most common cancer diagnosed in women in South Africa, and together with cervical cancer, constitutes the leading cause of cancer death. 1 Early diagnosis of breast cancer is key to  ...  with this SAJR issue is to provide a platform for local radiologists to publish breast imaging articles, and, in particular, to identify various aspects of breast radiology that are of importance in the  ... 
doi:10.4102/sajr.v22i2.1666 pmid:31754521 pmcid:PMC6837797 fatcat:vnuaqsja5zbpvpiyo2ridlv3r4

An Efficient Hybrid Detection System for Abnormal Masses in Digital and Analog Mammogram

Ahmed S. Rashad, Rowayda A. Sadek, Sherif Abdel Aziz El-Sherif
2012 Computer and Information Science  
This paper presents a general framework for mammography that will provide advantages for managing information and simplifying process in each layer for imaging technique.  ...  Mammography is a type of radiography used on the breasts as screening method for women. The indicators for breast cancer aremasses and calcifications.  ...  Maha Hessiun Helal Professor ofradio diagnosismammography department, National Cancer Institute, Cairo University For providing digital and contrast enhancement mammographic images.  ... 
doi:10.5539/cis.v5n6p25 fatcat:zkbq7pl35vgsbb5jnfbz32vifa

INDIAM—An e-Learning System for the Interpretation of Mammograms

Denise Guliato, Ricardo S. Bôaventura, Marcelo A. Maia, Rangaraj M. Rangayyan, Mariângela S. Simedo, Túlio A. A. Macedo
2008 Journal of digital imaging  
The SISPRIM research system also allows content-based image retrieval to assist the radiologist in breast cancer diagnosis.  ...  radiologists and to assist research and education activities in breast cancer through a flexible and easy-to-use interface via the Web.  ... 
doi:10.1007/s10278-008-9111-6 pmid:18425550 pmcid:PMC3043705 fatcat:kfg7znrvcrafbas5fwdx4yu5zm

Simplifying Breast Imaging Reporting and Data System classification of mammograms with pure suspicious calcifications

Gisela LG Menezes, Gonneke AO Winter-Warnars, Eva L Koekenbier, Emma J Groen, Helena M Verkooijen, Ruud M Pijnappel
2017 Journal of Medical Screening  
Conclusions: Considering the high predictive value for malignancy in B3 calcifications, we propose that these lesions should be classified as suspicious (B4), especially in a screening setting.  ...  All lesions were assessed by breast radiologists and classified according to the BI-RADS lexicon. Results: Overall, 473 patients underwent 497 stereotactic breast biopsies.  ...  is currently the best imaging tool for early detection of breast cancer in women with average lifetime risk of developing this disease.  ... 
doi:10.1177/0969141317715281 pmid:28691862 pmcid:PMC5956567 fatcat:kmgmfsujnzajhhw2jrknquqz4y

A Research on Computer Aided Detection System for Women Breast Cancer Diagnosis from Digital Mammographic Images

2019 International journal of recent technology and engineering  
Generally breast cancer is a malignant tumor that begins in the cells of the breast and eventually it spreads to the surrounding tissues. Early detection and diagnosis can reduce the mortality rate.  ...  The Women breast cancer is the most critical cancer that are found in women. Its the second important cause of death in the world.  ...  In this paper, we present an extensive survey on the research work carried to develop computer aided diagnosis tools that can help the radiologists in making accurate interpretation of the digital mammograms  ... 
doi:10.35940/ijrte.b1169.0982s1119 fatcat:vmznjceb45dafhqtd4nlfw7ehe

Artificial Intelligence in Medical Imaging of the Breast

Yu-Meng Lei, Miao Yin, Mei-Hui Yu, Jing Yu, Shu-E Zeng, Wen-Zhi Lv, Jun Li, Hua-Rong Ye, Xin-Wu Cui, Christoph F. Dietrich
2021 Frontiers in Oncology  
Early screening for breast cancer via mammography, ultrasound and magnetic resonance imaging (MRI) can significantly improve the prognosis of patients.  ...  AI has shown excellent performance in image recognition tasks and has been widely studied in breast cancer screening.  ...  ACKNOWLEDGMENTS I would like to extend my sincere gratitude to my colleagues for their help in the completion of this article and the reviewers for reviewing my article.  ... 
doi:10.3389/fonc.2021.600557 fatcat:5tphtisnhnd33c3e5oycvywnee

Computerized Breast Cancer Detection System

R.J. Hemalatha, G. Hari Krishnan, G. Umashankar, Sheeba Abraham
2014 Biosciences Biotechnology Research Asia  
Mammography has been shown to be effective in screening asymptomatic women to detect occult breast cancer and to reduce mortality by as much as 30% in women aged between 50 and 69 years.  ...  Breast cancer is a leading cause of death among women, and its incidence is rising.  ...  Several research works have tried to develop tools; they could help the radiologists in the interpretation of the mammograms and could be useful for an accurate diagnosis.  ... 
doi:10.13005/bbra/1357 fatcat:avr5sfrx2rdprhmm2xutt5fsjq

Computational intelligence for the detection and classification of malignant lesions in screening mammography

Evangelia Panourgias, Athanasios Tsakonas, Georgios Dounias, Georgia Panagi
2006 Oncology Reports  
Results seem encouraging for further use and analysis by medical staff specializing in screening mammography.  ...  This report deals with the discussion of the findings obtained from the application of two computational intelligence methodologies for the detection of microcalcifications in screening mammography data  ...  In ref. 14 a combined approach of neural networks and evolutionary programming is presented, for computer assisted mammography.  ... 
doi:10.3892/or.15.4.1037 fatcat:fst7awq7fjhupoeshnrjbj2eci

Effectiveness of Existing CAD-Based Research Work towards Screening Breast Cancer

Vidya Kattepura, Dr. Kurian
2017 International Journal of Advanced Computer Science and Applications  
We reviewed the existing Computer Aided Diagnosis (CAD)-based techniques to find that there has been enough work carried out towards both detection as well as classification of the breast cancer; however  ...  Accurate detection as well as classification of the breast cancer is still an unsolved question in the medical image processing techniques.  ...  [38] have discussed about a Matlab-based approach for converting MRI image in the form of contrast maps in order to assists in detection of breast cancer. B.  ... 
doi:10.14569/ijacsa.2017.080917 fatcat:kxvwt2cosvfbbnbwh7q6jimfwq

Screening of Breast Cancer [chapter]

Per Skaane
2011 Breast Cancer, a Heterogeneous Disease Entity  
The use of screening mammography is based on the assumption that breast cancer is a progressive disease, and consequently its earlier detection and diagnosis will lead to an improved prognosis for the  ...  The systematic use of the protocol assists the work of the radiologist in the darkened room.  ... 
doi:10.1007/978-94-007-0489-3_2 fatcat:ufrjfwlf2zactdkazuy5wqzq2a

The role of digital breast tomosynthesis in the breast assessment clinic: a review

Suneeta Mall, Sarah Lewis, Patrick Brennan, Jennie Noakes, Claudia Mello-Thoms
2017 Journal of Medical Radiation Sciences  
In this literature review, we evaluate the role of DBT for use in breast cancer assessment and its future in biopsy.  ...  Mammography has long been considered as the primary technique in breast cancer detection and assessment.  ...  Introduction Mammography has been widely adopted as the primary screening tool in breast cancer detection and assessment.  ... 
doi:10.1002/jmrs.230 pmid:28374502 pmcid:PMC5587657 fatcat:6gnuyqb3fjhbzldkfitxnhsi3u

Is Artificial Intelligence the New Friend for Radiologists? A Review Article

Sravani Gampala, Varun Vankeshwaram, Satya Siva P Gadula
2020 Cureus  
AI could only be an aid to radiologists but will not replace a radiologist.  ...  We mainly focused on the overview of AI in radiology, components included in the functioning of AI, AI assisting in the radiologists' workflow, ethical aspects of AI, challenges, and biases that AI experiencing  ...  [31] Stand-alone Artificial Intelligence for breast cancer detection in mammography: comparison with 101 radiologists This study concluded that the AI system's performance was statistically  ... 
doi:10.7759/cureus.11137 pmid:33240726 pmcid:PMC7682942 fatcat:gw727fhlajg4xojhwp4gic4jya

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review [article]

Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan
2020 arXiv   pre-print
This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images.  ...  The main findings in the classification process reveal that new DL-CAD methods are useful and effective screening tools for breast cancer, thus reducing the need for manual feature extraction.  ...  Acknwoledgments: VL would like to acknowledge support by a Discovery grant from the Natural Sciences and Engineering Research Council of Canada.  ... 
arXiv:2010.00961v1 fatcat:mrzh7mdlifduziuxqpokovueee

An image quality review programme in a population‐based mammography screening service

Vania Galli, Monica Pini, Daniele De Metrio, Priscilla Sassoli de Bianchi, Lauro Bucchi
2021 Journal of Medical Radiation Sciences  
Between 1998 and 2009, the steering committee for mammography of a large population-based screening service in northern Italy undertook several audit checks of the imaging facilities.  ...  In 2012, the proportion of mammograms with a poor IQ rose from 0.6% to 19.3%, paralleled by a substantial decrease of mammograms interpreted to have a moderate and perfect IQ.  ...  The membership of the working group is as follows (in parentheses, the name of the health care district of origin identifying the local screening  ... 
doi:10.1002/jmrs.487 pmid:34085397 fatcat:wr2v2bzsc5htrglljyuv2t5gd4

Meta-repository of screening mammography classifiers [article]

Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chłędowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
2022 arXiv   pre-print
In breast cancer screening, recent studies show that AI has the potential to improve early cancer diagnosis and reduce unnecessary workup.  ...  Artificial intelligence (AI) is showing promise in improving clinical diagnosis.  ...  The authors would also like to thank Miranda Pursley for proofreading the manuscript.  ... 
arXiv:2108.04800v3 fatcat:76mfoe3thjdfjbxkv52qxme5ky
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