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Finding regions of interest for cancerous masses enhanced by elimination of linear structures and considerations on detection correctness measures in mammography

Marcin Bator, Leszek J. Chmielewski
2008 Pattern Analysis and Applications  
Finding regions of interest for cancerous masses enhanced by elimination of linear structures and considerations on detection correctness measures in mammography.  ...  An attempt has been described to improve the TP ratio per image and to decrease the number of FP errors in the hierarchical template matching detector of regions of interest (ROIs) for cancerous masses  ...  We thank dr Ewa Wesołowska from the Center of Oncology, Warsaw, for providing the contours indicating the shapes of cancerous masses shown in Figs. 1, 6-11.  ... 
doi:10.1007/s10044-008-0134-x fatcat:abevfpwxxjh5xexqpxrknonxsm

Dual Energy X-ray Methods for the Characterization, Quantification and Imaging of Calcification Minerals and Masses in Breast

Niki Martini, Vaia Koukou, Christos Michail, George Fountos
2020 Crystals  
Dual energy (DE) technique has been used by numerous studies in order to detect breast cancer in early stages.  ...  minerals, masses and lesions obscured by overlapping tissue.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/cryst10030198 fatcat:c5zao3b3njckvmu75wyfzvxawi

Metrological Assessment of a CAD System for the Early Diagnosis of Breast Cancer in Digital Mammography [chapter]

Arianna Mencattini, Marcello Salmeri
2012 Mammography - Recent Advances  
between the human observer and the image data, in manually enhancing the image contrast, selecting Region Of Interest, manually sectioning the breast region for inspection etc., during the operation of  ...  Missed cancers are due to many reasons: low disease prevalence, breast structure complexity, finding subtleties, and radiologist fatigue.  ... 
doi:10.5772/32912 fatcat:lvq2nz5d7vejxgwvmo73n7tvtq

Descriptive analysis of computational methods for automating mammograms with practical applications [article]

Aparna Bhale, Manish Joshi
2020 arXiv   pre-print
Mammography is a vital screening technique for early revealing and identification of breast cancer in order to assist to decrease mortality rate.  ...  In this paper, we descriptively discuss computational advancement in digital mammograms to serve as a compass for research and practice in the domain of computational mammography and related fields.  ...  Mammography is one of the most efficient methods for early detection of breast cancer.  ... 
arXiv:2010.03378v1 fatcat:5mokkfho6ffvbai7rcdpytszj4

Breast Cancer Detection via Mammographic Images : A Survey

Mary Walowe Mwadulo, Raphael Angulu, Stephen Makau Mutua
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
This paper analyzes mammographic detection of breast cancer by providing an explanation on development and classification of Breast Cancer, Image representation models for breast tumor, mammography technologies  ...  cancer databases, and a review of mammographic breast cancer detection studies are presented.  ...  Gabor filter has been extensively been used for mass segmentation and edge detection in breast cancer mass detection.  ... 
doi:10.32628/cseit20633 fatcat:5ivxt3yt4vczlge5v5277m76bu

CAD Applications and Emerging Research Potential in Medical Imaging [article]

Roshan P. Mathews, Greeta Mathews
2020 arXiv   pre-print
Computer Aided Detection (CAD) is a valuable technique for precisely interpreting medical images and it has a global business opportunity of about USD 1.8 billion.  ...  The engineering aspects of the above four stages in four imaging modalities viz. computed tomography, magnetic resonance imaging, mammography and bone scintigraphy used in the diagnosis of five critical  ...  A comprehensive account on the mammography images of circumscribed masses, spiculated masses and microcalcifications are reported in the work of Rafayah [53] .  ... 
arXiv:2009.14657v1 fatcat:cg4kcdzbxbcg5l3akbvuh4wela

Micro-calcification detection in digital tomosynthesis mammography

Frederick W. Wheeler, A. G. Amitha Perera, Bernhard E. Claus, Serge L. Muller, Gero Peters, John P. Kaufhold, Joseph M. Reinhardt, Josien P. W. Pluim
2006 Medical Imaging 2006: Image Processing  
A novel technique for the detection and enhancement of microcalcifications in digital tomosynthesis mammography (DTM) is presented.  ...  The 3D calcification detection algorithm finds a minimum variance estimate of calcification attenuation present in 3D space based on the signal and variance of the calcification residual images at the  ...  A microcalcification finding can by itself indicate breast cancer and lead to an interventional procedure.  ... 
doi:10.1117/12.653478 dblp:conf/miip/WheelerPCMPK06 fatcat:tjyhaanebrgwpilz36nu34fnfu

Snakules: A Model-Based Active Contour Algorithm for the Annotation of Spicules on Mammography

Gautam S. Muralidhar, Alan C. Bovik, J. David Giese, Mehul P. Sampat, Gary J. Whitman, Tamara Miner Haygood, Tanya W. Stephens, Mia K. Markey
2010 IEEE Transactions on Medical Imaging  
Statistics of prior physical measurements of spiculated masses on mammography are used in the process of detecting the set of candidate points.  ...  Starting from a natural set of automatically detected candidate points, snakules are deployed in the region around a suspect spiculated mass location.  ...  ACKNOWLEDGMENT The authors would like to thank the reviewers for their comments that have helped improve the quality of the manuscript.  ... 
doi:10.1109/tmi.2010.2052064 pmid:20529728 fatcat:d6ok2hnzdze4ricec56pljzw5i

Breast Cancer Detection and Diagnosis Using Machine Learning: A Survey

Riyadh M. Al-Tam, Sachin M. Narangale
2021 Journal of scientific research  
In this paper, a comprehensive survey to review most of the accurate techniques being used for both detecting and diagnosing breast cancer is conducted.  ...  Breast cancer is one of the most widespread diseases causing death among women worldwide.  ...  Segmentation stage This stage is responsible for segmenting images to choose the region of interest (ROI) in medical images.  ... 
doi:10.37398/jsr.2021.650532 fatcat:r4mo24373rd2pe7ooc3gnwiwue

An Automated Breast Micro-calcification Detection and Classification Technique using Temporal Subtraction of Mammograms

Kosmia Loizidou, Galateia Skouroumouni, Christos Nikolaou, Costas Pitris
2020 IEEE Access  
In this work, a novel technique for the detection and classification of breast Micro-Calcifications (MCs), which are diagnostically significant but difficult to detect findings, is presented.  ...  Radiologists worldwide use mammography as a reliable tool for breast cancer screening.  ...  For the detection of breast cancer, radiologists use mammography as the key screening tool [2] .  ... 
doi:10.1109/access.2020.2980616 fatcat:f7djnfseibafdmamovmnlnfn3a

Quantitative contrast-enhanced mammography for contrast medium kinetics studies

C D Arvanitis, R Speller
2009 Physics in Medicine and Biology  
CDA was funded by the Greek State Scholarships Foundation.  ...  Acknowledgments This work was supported by the RC-UK Basic Technology Multidimensional Integrated Intelligent Imaging (MI-3) program (GR/S85733/01).  ...  of breast cancer and also eliminate false biopsies.  ... 
doi:10.1088/0031-9155/54/20/002 pmid:19779213 fatcat:lvrxcyselvdsbnill4ms4wnymq

A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images

Muhammad Muhammad, Diyar Zeebaree, Adnan Mohsin Abdulazeez Brifcani, Jwan Saeed, Dilovan Asaad Zebari
2020 Journal of Applied Science and Technology Trends  
The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is a widely employed method for identifying and diagnosing breast abnormalities.  ...  This paper presents several ultrasound image segmentation techniques, mainly focus on eight clustering methods over the last 10 years, and it shows the advantages and disadvantages of these approaches.  ...  So, for developing the computerization and strength of Computer-Aided Diagnosis (CAD) structures, dependable and programmed or unprogrammed separation techniques are selected to group the region of interest  ... 
doi:10.38094/jastt1328 fatcat:hprvicqbvbeb5fbsu6ozrdntci

Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis

V. Durga Prasad Jasti, Abu Sarwar Zamani, K. Arumugam, Mohd Naved, Harikumar Pallathadka, F. Sammy, Abhishek Raghuvanshi, Karthikeyan Kaliyaperumal, G. Thippa Reddy
2022 Security and Communication Networks  
Mammography is the most effective method of detecting breast cancer early.  ...  This article discusses an evolutionary approach for classifying and detecting breast cancer that is based on machine learning and image processing.  ...  Introduction Any region of the body might be affected by cancerous cell development.  ... 
doi:10.1155/2022/1918379 fatcat:vmuhhly7j5cllfo2fjmzo6vr3a

Classification of breast masses in mammograms using geometric and topological feature maps and shape distribution

Thamila Fontenele de Brito Silva, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Geraldo Braz Júnior, João Dallyson Sousa de Almeida
2020 Research on Biomedical Engineering  
Mammography is currently the best technique for early detection of non-palpable breast lesions.  ...  Purpose Breast cancer is the second most common cancer in the world, being more common among women and representing 24.2% of new cases each year.  ...  Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão (FAPEMA), and, finally, the Massachusetts General Hospital and laboratories Sandia National from University of South Florida by the public  ... 
doi:10.1007/s42600-020-00063-x fatcat:wrueegr44nf2pcfgg46dbhytvm

Image processing and machine learning techniques used in computer-aided detection system for mammogram screening - a review

Susama Bagchi, Kim Gaik Tay, Audrey Huong, Sanjoy Kumar Debnath
2020 International Journal of Electrical and Computer Engineering (IJECE)  
This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and  ...  This study reveals that in spite of the higher accuracy obtained by the earlier proposed CAD systems for breast cancer diagnosis, they are not fully automated.  ...  ACKNOWLEDGEMENTS We are grateful to Universiti Tun Hussein Onn Malaysia for financially supporting this work under the grant TIER1 H258.  ... 
doi:10.11591/ijece.v10i3.pp2336-2348 fatcat:xmshnaqdybes5peubkm5df3uva
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