Works matching Mammograms

Results: 5000

ENHANCEMENT OF SCREEN FILM MAMMOGRAM UP TO A LEVEL OF DIGITAL MAMMOGRAM: EXPERIMENTAL ANALYSIS.

Published in:

International Journal of Image & Graphics, 2013, v. 13, n. 2, p. 1, doi. 10.1142/S0219467813400044

By:

BHALE, APARNA NARENDRA;
JOSHI, MANISH RATNAKAR

Publication type:

Article

Do Primary Care Physician Perform Clinical Breast Exams Prior to Ordering a Mammogram?

Published in:

Breast Journal, 2016, v. 22, n. 2, p. 189, doi. 10.1111/tbj.12546

By:

Larson, Kelsey E.;
Cowher, Michael S.;
O'Rourke, Colin;
Patel, Mita;
Pratt, Debra

Publication type:

Article

Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment.

Published in:

Medical & Biological Engineering & Computing, 2021, v. 59, n. 2, p. 355, doi. 10.1007/s11517-021-02313-1

By:

Tan, Maxine;
Al-Shabi, Mundher;
Chan, Wai Yee;
Thomas, Leya;
Rahmat, Kartini;
Ng, Kwan Hoong

Publication type:

Article

Perceived Sufficiency of Full-Field Digital Mammograms With and Without Irreversible Image Data Compression for Comparison with Next-Year Mammograms.

Published in:

Journal of Digital Imaging, 2011, v. 24, n. 1, p. 66, doi. 10.1007/s10278-010-9277-6

By:

Destounis, Stamatia;
Somerville, Patricia;
Murphy, Philip;
Seifert, Posy

Publication type:

Article

Computer-extracted global radiomic features can predict the radiologists' first impression about the abnormality of a screening mammogram.

Published in:

British Journal of Radiology, 2024, v. 97, n. 1153, p. 168, doi. 10.1093/bjr/tqad025

By:

Siviengphanom, Somphone;
Lewis, Sarah J;
Brennan, Patrick C;
Gandomkar, Ziba

Publication type:

Article

A combined approach for the enhancement and segmentation of mammograms using modified fuzzy C-means method in wavelet domain.

Published in:

Journal of Medical Physics, 2014, v. 39, n. 3, p. 169, doi. 10.4103/0971-6203.139007

By:

Srivastava, Subodh;
Sharma, Neeraj;
Singh, S. K.;
Srivastava, R.

Publication type:

Article

Impact of same day screening mammogram results on women's satisfaction and overall breast cancer screening experience: a quality improvement survey analysis.

Published in:

BMC Women's Health, 2022, v. 22, n. 1, p. 1, doi. 10.1186/s12905-022-01919-3

By:

Shah, Biren A.;
Mirchandani, Anicia;
Abrol, Srishti

Publication type:

Article

Iatrogenic Breast Foreign Body Seen on a Screening Mammogram.

Published in:

Indian Journal of Surgery, 2021, v. 83, n. 2, p. 532, doi. 10.1007/s12262-020-02108-y

By:

Monib, Sherif;
Anis, Karim

Publication type:

Article

Region-specific multi-attribute white mass estimation-based mammogram classification.

Published in:

Personal & Ubiquitous Computing, 2018, v. 22, n. 5/6, p. 1093, doi. 10.1007/s00779-018-1135-4

By:

Padmavathy, T. V.;
Vimalkumar, M. N.;
Sivakumar, N.

Publication type:

Article

Performance Evaluation of Deep Learning Models on Mammogram Classification Using Small Dataset.

Published in:

Bioengineering (Basel), 2022, v. 9, n. 4, p. 161, doi. 10.3390/bioengineering9040161

By:

Adedigba, Adeyinka P.;
Adeshina, Steve A.;
Aibinu, Abiodun M.

Publication type:

Article

An Accurate Diagnosis and Classification of Breast Mammogram Using Transfer Learning in Deep Convolutional Neural Network.

Published in:

Traitement du Signal, 2025, v. 42, n. 1, p. 343, doi. 10.18280/ts.420129

By:

Annamalai, Thiyagarajan;
Chinnasamy, Murukesh;
Pandian, Mary Joans Samuel Soundara

Publication type:

Article

Unveiling Breast Tumor Characteristics: A ResNet152V2 and Mask R-CNN Based Approach for Type and Size Recognition in Mammograms.

Published in:

Traitement du Signal, 2023, v. 40, n. 5, p. 1821, doi. 10.18280/ts.400504

By:

Salh, Chiman Haydar;
Ali, Abbas M.

Publication type:

Article

A Hybrid Model Particle Swarm Optimization Based Mammogram Classification Using Kernel Support Vector Machine.

Published in:

Traitement du Signal, 2022, v. 39, n. 3, p. 915, doi. 10.18280/ts.390317

By:

Annamalai, Thiyagarajan;
Chinnasamy, Murukesh;
Soundara Pandian, Mary Joans Samuel

Publication type:

Article

Investigations on Deep Learning Techniques for Analysing Mammograms.

Published in:

Revue d'Intelligence Artificielle, 2022, v. 36, n. 3, p. 451, doi. 10.18280/ria.360313

By:

Bandaru, Satish Babu;
Deivarajan, Natarajasivan;
Gatram, Rama Mohan Babu

Publication type:

Article

Evaluation of Mammogram Parties as an Effective Community Navigation Method.

Published in:

2018

By:

Allgood, Kristi L.;
Hunt, Bijou;
Kanoon, Jacqueline M.;
Simon, Melissa A.

Publication type:

journal article

Conversations about Abnormal Mammograms on Distress and Timely Follow-up Across Ethnicity.

Published in:

2017

By:

Molina, Yamile;
Beresford, Shirley;
Hayes Constant, Tara;
Thompson, Beti;
Beresford, Shirley A A

Publication type:

journal article

Segmentation of mammogram images using level set with Cuckoo search optimisation.

Published in:

Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation, 2023, v. 11, n. 3, p. 914, doi. 10.1080/21681163.2022.2120827

By:

G R, Byra Reddy;
Kumar, H. Prasanna

Publication type:

Article

Contour Detection of Mammogram Masses Using ChanVese Model and B-Spline Approximation.

Published in:

International Journal of Interactive Multimedia & Artificial Intelligence, 2017, v. 4, n. 5, p. 25, doi. 10.9781/ijimai.2017.454

By:

Youssef, Youssef Ben;
Abdelmounim, El hassane;
Lamnii, Abdellah

Publication type:

Article

Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms.

Published in:

Neural Computing & Applications, 2023, v. 35, n. 7, p. 5479, doi. 10.1007/s00521-022-07895-x

By:

Pramanik, Payel;
Mukhopadhyay, Souradeep;
Mirjalili, Seyedali;
Sarkar, Ram

Publication type:

Article

A novel feature selection framework based on grey wolf optimizer for mammogram image analysis.

Published in:

Neural Computing & Applications, 2021, v. 33, n. 21, p. 14583, doi. 10.1007/s00521-021-06099-z

By:

Sathiyabhama, B.;
Kumar, S. Udhaya;
Jayanthi, J.;
Sathiya, T.;
Ilavarasi, A. K.;
Yuvarajan, V.;
Gopikrishna, Konga

Publication type:

Article

Texture-based features for classification of mammograms using decision tree.

Published in:

Neural Computing & Applications, 2013, v. 23, n. 3/4, p. 1011, doi. 10.1007/s00521-012-1025-z

By:

Mohanty, Aswini;
Senapati, Manas;
Beberta, Swapnasikta;
Lenka, Saroj

Publication type:

Article

An improved data mining technique for classification and detection of breast cancer from mammograms.

Published in:

Neural Computing & Applications, 2013, v. 22, p. 303, doi. 10.1007/s00521-012-0834-4

By:

Mohanty, Aswini;
Senapati, Manas;
Lenka, Saroj

Publication type:

Article

A novel image mining technique for classification of mammograms using hybrid feature selection.

Published in:

Neural Computing & Applications, 2013, v. 22, n. 6, p. 1151, doi. 10.1007/s00521-012-0881-x

By:

Mohanty, Aswini;
Senapati, Manas;
Lenka, Saroj

Publication type:

Article

Organization Communication Factors and Abnormal Mammogram Follow-up: a Qualitative Study Among Ethnically Diverse Women Across Three Healthcare Systems.

Published in:

JGIM: Journal of General Internal Medicine, 2020, v. 35, n. 10, p. 3000, doi. 10.1007/s11606-020-05972-2

By:

Kenny, Jazmine D.;
Karliner, Leah S.;
Kerlikowske, Karla;
Kaplan, Celia P.;
Fernandez-Lamothe, Ana;
Burke, Nancy J.

Publication type:

Article

Factors associated with receipt of mammogram among caregivers: a comparison with non-caregivers.

Published in:

2020

By:

Kim, Soo Young;
Guo, Yuqi;
Won, Chorong;
Lee, Hee Yun

Publication type:

journal article

Leveraging Quantum Neural Networks with Deep Learning Based Edge Detection Model for Breast Cancer Screening using Digital Mammograms.

Published in:

Journal of Intelligent Systems & Internet of Things, 2025, v. 16, n. 2, p. 68, doi. 10.54216/JISIoT.160206

By:

Abdel-Khalek, S.

Publication type:

Article

The association between visiting a primary care provider and uptake of periodic mammograms as women get older.

Published in:

Journal of Medical Screening, 2016, v. 23, n. 2, p. 83, doi. 10.1177/0969141315600004

By:

Sutradhar, R.;
Gu, S.;
Glazier, R. H.;
Paszat, L. F.

Publication type:

Article

Identification of architectural distortions in mammograms using local binary patterns and radial lengths through an exhaustive evaluation framework.

Published in:

Expert Systems, 2018, v. 35, n. 4, p. 1, doi. 10.1111/exsy.12281

By:

Chatzistergos, Sevastianos E.;
Andreadis, Ioannis;
Nikita, Konstantina S.

Publication type:

Article

Decomposition and recompilation of mammograms for breast tumour detection.

Published in:

Expert Systems, 2018, v. 35, n. 2, p. 1, doi. 10.1111/exsy.12243

By:

Yeh, Jinn‐Yi;
Chan, Si‐Wa

Publication type:

Article

De-Noising Mammogram images by Hybridizing Deviation about Mean, Median and Maximum Filters.

Published in:

International Journal of Advanced Research in Computer Science, 2017, v. 8, n. 3, p. 1150

By:

Jayanthi, S. K.;
Preetha, K.;
Sridevi, K.

Publication type:

Article

A novel Image mining Technique for Classification of Mammograms using Hybrid Feature Selection.

Published in:

International Journal of Advanced Research in Computer Science, 2011, v. 2, n. 3, p. 265

By:

Mohanty, Aswini Kumar;
Senapati, Manas Ranjan;
Lenka, Saroj Kumar

Publication type:

Article

Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images.

Published in:

Interdisciplinary Sciences: Computational Life Sciences, 2022, v. 14, n. 1, p. 113, doi. 10.1007/s12539-021-00467-y

By:

Kavitha, T.;
Mathai, Paul P.;
Karthikeyan, C.;
Ashok, M.;
Kohar, Rachna;
Avanija, J.;
Neelakandan, S.

Publication type:

Article

Communication Factors in the Follow-up of Abnormal Mammograms.

Published in:

JGIM: Journal of General Internal Medicine, 2004, v. 19, n. 4, p. 316, doi. 10.1111/j.1525-1497.2004.30357.x

By:

Poon, Erik G.;
Haas, Jennifer S.;
Puopolo, Ann Louise;
Gandhi, Tejal K.;
Burdick, Elisabeth;
Bates, David W.;
Brennan, Troyen A.

Publication type:

Article

Disparities in abnormal mammogram follow-up time for Asian women compared with non-Hispanic white women and between Asian ethnic groups.

Published in:

Cancer (0008543X), 2017, v. 123, n. 18, p. 3468, doi. 10.1002/cncr.30756

By:

Nguyen, Kim H.;
Pasick, Rena J.;
Stewart, Susan L.;
Kerlikowske, Karla;
Karliner, Leah S.

Publication type:

Article

Digital Mammogram Inferencing System Using Intuitionistic Fuzzy Theory.

Published in:

Computer Systems Science & Engineering, 2022, v. 41, n. 3, p. 1099, doi. 10.32604/csse.2022.020439

By:

Mishra, Susmita;
Prakash, M.

Publication type:

Article

Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm.

Published in:

Multimedia Tools & Applications, 2024, v. 83, n. 7, p. 21347, doi. 10.1007/s11042-023-16414-6

By:

Atrey, Kushangi;
Singh, Bikesh Kumar;
Bodhey, Narendra Kuber

Publication type:

Article

An augmented mammogram image dataset and its performance analysis for various classification models.

Published in:

Multimedia Tools & Applications, 2023, v. 82, n. 21, p. 32011, doi. 10.1007/s11042-023-14566-z

By:

Sharma, Bhanu Prakash;
Purwar, Ravindra Kumar

Publication type:

Article

Evaluation of deep learning models for detecting breast cancer using histopathological mammograms Images.

Published in:

Sustainable Operations & Computers, 2022, n. 3, p. 296, doi. 10.1016/j.susoc.2022.06.001

By:

Mohapatra, Subasish;
Muduly, Sarmistha;
Mohanty, Subhadarshini;
Ravindra, J. V. R.;
Mohanty, Sachi Nandan

Publication type:

Article

Feasibility of a Reinforcement Learning-Enabled Digital Health Intervention to Promote Mammograms: Retrospective, Single-Arm, Observational Study.

Published in:

JMIR Formative Research, 2022, v. 6, n. 11, p. 1, doi. 10.2196/42343

By:

Bucher, Amy;
Blazek, E Susanne;
West, Ashley B.

Publication type:

Article

Predicting Breast Cancer by Image Enhancement with RGB Coloring Technique on Mammogram.

Published in:

Malaysian Journal of Medicine & Health Sciences, 2017, v. 13, p. 40

By:

Ahmad Nazri, Azree Shahrel Bin;
Opeoluwa, Agbolade Olalekan

Publication type:

Article

ELM BASED CAD SYSTEM TO CLASSIFY MAMMOGRAMS BY THE COMBINATION OF CLBP AND CONTOURLET.

Published in:

ICTACT Journal on Image & Video Processing, 2017, v. 7, n. 4, p. 1489, doi. 10.21917/ijivp.2017.0213

By:

Venkatalakshmi, S.;
Janet, J.

Publication type:

Article

AN ENHANCED MAMMOGRAM DIAGNOSIS USING SHIFT-INVARIANT TRANSFORM.

Published in:

ICTACT Journal on Image & Video Processing, 2014, v. 5, n. 2, p. 920, doi. 10.21917/ijivp.2014.0135

By:

Sankar, K.;
Nirmala, K.

Publication type:

Article

EMPIRICAL EVALUATION OF LBP AND ITS DERIVATES FOR ABNORMALITY DETECTION IN MAMMOGRAM IMAGES.

Published in:

ICTACT Journal on Image & Video Processing, 2014, v. 4, n. 4, p. 824, doi. 10.21917/ijivp.2014.0118

By:

Suruliandi, A.;
Murugeswari, G.

Publication type:

Article

A Cross-Sectional Evaluation of Knowledge About Breast Cancer and Perceived Barriers to the Uptake of Mammogram Screening Among Northern Saudi Women: A Population-Based Study.

Published in:

Breast Cancer: Targets & Therapy, 2023, v. 15, p. 451, doi. 10.2147/BCTT.S414635

By:

Alanazi, Muhannad Faleh;
Thirunavukkarasu, Ashokkumar;
Alrowily, Maily;
Alaqel, Nouf;
Alaqel, Abdulelah;
Alruwaili, Mutlaq;
Alazmi, Nouf Nashmi M;
Alhassan, Osamah;
Aljarallah, Mona Fahad M;
Altaymani, Afrah Mohaimeed

Publication type:

Article

Similarity measurement on digital mammogram classification.

Published in:

Telkomnika, 2022, v. 20, n. 4, p. 834, doi. 10.12928/TELKOMNIKA.v20i4.10698

By:

Alimudin, Erna;
Nugroho, Hanung Adi;
Adji, Teguh Bharata

Publication type:

Article

Automated Deep Learning Empowered Breast Cancer Diagnosis Using Biomedical Mammogram Images.

Published in:

Computers, Materials & Continua, 2022, v. 71, n. 3, p. 4221, doi. 10.32604/cmc.2022.022322

By:

Escorcia-Gutierrez, José;
Mansour, Romany F.;
Beleño, Kelvin;
Jiménez-Cabas, Javier;
Pérez, Meglys;
Madera, Natasha;
Velasquez, Kevin

Publication type:

Article

Recovery of Screening Mammogram Cancellations During COVID-19.

Published in:

American Surgeon, 2021, v. 87, n. 10, p. 1651, doi. 10.1177/00031348211051695

By:

Pairawan, Seyed S.;
Temich, Luis Olmedo;
de Armas, Sebastian;
Folkerts, Andrew;
Solomon, Naveen;
Cora, Cherie;
Ramalingam, Kirithiga;
Lum, Sharon S.;
Olmedo Temich, Luis

Publication type:

Article

Mammogram Screening Uptake and Its Associated Factors among Female Staff in Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.

Published in:

Malaysian Journal of Medical Sciences, 2023, v. 30, n. 5, p. 144, doi. 10.21315/mjms2023.30.5.12

By:

Nurul Aizam MOHD AZMI;
Juliawati MUHAMMAD;
Siti Suhaila MOHD YUSOFF;
Nik Rosmawati NIK HUSSIN

Publication type:

Article

A Review of Computer-Aided Breast Cancer Diagnosis Using Sequential Mammograms.

Published in:

Tomography: A Journal for Imaging Research, 2022, v. 8, n. 6, p. 2874, doi. 10.3390/tomography8060241

By:

Loizidou, Kosmia;
Skouroumouni, Galateia;
Nikolaou, Christos;
Pitris, Costas

Publication type:

Article

Persistent Homology for Breast Tumor Classification Using Mammogram Scans.

Published in:

Mathematics (2227-7390), 2022, v. 10, n. 21, p. 4039, doi. 10.3390/math10214039

By:

Asaad, Aras;
Ali, Dashti;
Majeed, Taban;
Rashid, Rasber

Publication type:

Article