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

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

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

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

Parallel Hierarchical Multi-View Feature Fusion Based on Canonical Correlation Analysis for Mammogram Retrieval.

Published in:

Vietnam Journal of Computer Science (World Scientific), 2024, v. 11, n. 4, p. 595, doi. 10.1142/S219688882450012X

By:

Abderrahim, Marwa;
Baâzaoui, Abir;
Barhoumi, Walid

Publication type:

Article

基于改进YOLOv4模型的乳腺钼靶图像肿块检测.

Published in:

Computer Engineering & Science / Jisuanji Gongcheng yu Kexue, 2023, v. 45, n. 4, p. 654, doi. 10.3969/j.issn.1007-130X.2023.04.012

By:

白钰杰;
裴以建;
朱秀军

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

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

Fully automated scheme for computer‐aided detection and breast cancer diagnosis using digitised mammograms.

Published in:

IET Image Processing (Wiley-Blackwell), 2020, v. 14, n. 3, p. 495, doi. 10.1049/iet-ipr.2018.5953

By:

Eltrass, Ahmed S.;
Salama, Mohamed S.

Publication type:

Article

Impacto del programa de aseguramiento de la calidad de las mamografías en Colombia.

Published in:

Anales de Radiologia, Mexico, 2014, v. 13, n. 4, p. 369

By:

Alejo-Martínez, H.;
Salazar-Hurtado, E. J.;
Poveda-Suárez, C. A.;
Puerto-Jiménez, D. N.;
Ramírez-Campos, F.;
Roldán-Sánchez, O. I.

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

Improved bald eagle search optimization with entropy-based deep feature fusion model for breast cancer diagnosis on digital mammograms.

Published in:

Multimedia Tools & Applications, 2024, v. 83, n. 14, p. 41785, doi. 10.1007/s11042-023-17144-5

By:

Ashwini, P.;
Suguna, N.;
Vadivelan, N.

Publication type:

Article

Automatic Breast Mass Lesion Detection in Mammogram Image.

Published in:

International Journal of Image & Graphics, 2025, v. 25, n. 1, p. 1, doi. 10.1142/S0219467824500566

By:

Bania, Rubul Kumar;
Halder, Anindya

Publication type:

Article

Classification of Mammogram Abnormalities Using Legendre Moments.

Published in:

International Journal of Image & Graphics, 2021, v. 21, n. 1, p. N.PAG, doi. 10.1142/S0219467821500108

By:

Silva, Rodrigo Dalvit C.;
Jenkyn, Thomas R.

Publication type:

Article

Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to Mammogram Images.

Published in:

International Journal of Image & Graphics, 2020, v. 20, n. 04, p. N.PAG, doi. 10.1142/S0219467820500321

By:

Bania, Rubul Kumar;
Halder, Anindya

Publication type:

Article

Empirical Evaluation of Generic Weighted Cubicle Pattern and LBP Derivatives for Abnormality Detection in Mammogram Images.

Published in:

International Journal of Image & Graphics, 2015, v. 15, n. 1, p. -1, doi. 10.1142/S0219467815500011

By:

Suruliandi, A.;
Murugeswari, G.;
Arockia Jansi Rani, P.

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

An Efficient Approach for Detection and Classification of Breast Masses in Digital Mammograms.

Published in:

Grenze International Journal of Engineering & Technology (GIJET), 2019, v. 5, n. 2, p. 46

By:

Vyawahare, Aboli Umesh;
Thool, Vijaya

Publication type:

Article

Double-Dilation Non-Pooling Convolutional Neural Network for Breast Mass Mammogram Image Classification.

Published in:

Bahrain Medical Bulletin, 2022, v. 44, n. 4, p. 1144

By:

Mei-Ling Huang;
Ting-Yu Lin

Publication type:

Article

Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection.

Published in:

Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88907-3

By:

Seo, Jae Won;
Kim, Young Jae;
Kim, Kwang Gi

Publication type:

Article

A Deep System for Breast Tumor Classification from Mammograms.

Published in:

International Journal on Communications Antenna & Propagation, 2022, v. 12, n. 6, p. 394, doi. 10.15866/irecap.v12i6.22300

By:

Merzoug, Hasnia;
Yedjour, Hayat;
Chouraqui, Samira

Publication type:

Article

Development of a microRNA Panel for Classification of Abnormal Mammograms for Breast Cancer.

Published in:

Cancers, 2021, v. 13, n. 9, p. 2130, doi. 10.3390/cancers13092130

By:

Zou, Ruiyang;
Loke, Sau Yeen;
Tan, Veronique Kiak-Mien;
Quek, Swee Tian;
Jagmohan, Pooja;
Tang, Yew Chung;
Madhukumar, Preetha;
Tan, Benita Kiat-Tee;
Yong, Wei Sean;
Sim, Yirong;
Lim, Sue Zann;
Png, Eunice;
Lee, Shu Yun Sherylyn;
Chan, Mun Yew Patrick;
Ho, Teng Swan Juliana;
Khoo, Boon Kheng James;
Wong, Su Lin Jill;
Thng, Choon Hua;
Chong, Bee Kiang;
Teo, Yik Ying

Publication type:

Article

Predicting Breast Density of Digital Breast Tomosynthesis from 2D Mammograms.

Published in:

IETE Journal of Research, 2023, v. 69, n. 6, p. 3132, doi. 10.1080/03772063.2021.1914201

By:

Yeh, Jinn-Yi;
Lin, Tu-Liang;
Chan, Siwa

Publication type:

Article

Reinforcement learning (RL)-based semantic segmentation and attention based backpropagation convolutional neural network (ABB-CNN) for breast cancer identification and classification using mammogram images.

Published in:

Neural Computing & Applications, 2024, v. 36, n. 24, p. 14797, doi. 10.1007/s00521-024-09721-y

By:

Thakur, Neha;
Kumar, Pardeep;
Kumar, Amit

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

Combining Feature Methods for Content-Based Classification of Mammogram Images.

Published in:

International Journal of Computers, Communications & Control, 2013, v. 8, n. 4, p. 499, doi. 10.15837/ijccc.2013.4.273

By:

Chikamai, K.;
Viriri, S.;
Tapamo, J.-R.

Publication type:

Article

Interpretative characteristics and case features associated with the performances of radiologists in reading mammograms: A study from a non‐screening population in Asia.

Published in:

Asia Pacific Journal of Clinical Oncology, 2021, v. 17, n. 1, p. 139, doi. 10.1111/ajco.13429

By:

Trieu, Phuong Dung (Yun);
Puslednik, Louise;
Colley, Brooke;
Brennan, Anna;
Rodriguez, Veruska Cediel;
Cook, Nicholas;
Dean, Kaitlin;
Dryburgh, Sarah;
Lowe, Hayden;
Mahon, Charlotte;
McGowan, Saxon;
O'Brien, Joshua;
Moog, William;
Whale, Jorja;
Wong, Dennis;
Li, Tong;
Brennan, Patrick C.

Publication type:

Article

Breast Cancer Diagnosis Method Based on Cross-Mammogram Four-View Interactive Learning.

Published in:

Tomography: A Journal for Imaging Research, 2024, v. 10, n. 6, p. 848, doi. 10.3390/tomography10060065

By:

Wen, Xuesong;
Li, Jianjun;
Yang, Liyuan

Publication type:

Article

Time to Clinical Follow-up after Abnormal Mammogram among African American and Hispanic Women.

Published in:

Journal of Health Care for the Poor & Underserved, 2018, v. 29, n. 1, p. 448, doi. 10.1353/hpu.2018.0030

By:

Petersen, Shariska S.;
Sarkissyan, Marianna;
Wu, Yanyuan;
Clayton, Sheila;
Vadgama, Jaydutt V.

Publication type:

Article

MAMOGRAFIA DE RASTREAMENTO PARA CÂNCER DE MAMA PELO SUS NA REGIÃO METROPOLITANA DO VALE DO PARAÍBA E LITORAL NORTE: TENDÊNCIA E CARACTERISTICAS SOCIAIS DE MULHERES SUBMETIDAS AO EXAME, ENTRE 2010 E 2014.

Published in:

Revista UniVap, 2016, v. 22, n. 41, p. 45

By:

Almeida Silva, Patricia;
Carnevale Vianna, Paula Vilhena;
Roxo Barja, Paulo

Publication type:

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

Medical Advocacy and Supportive Environments for African-Americans Following Abnormal Mammograms.

Published in:

Journal of Cancer Education, 2015, v. 30, n. 3, p. 447, doi. 10.1007/s13187-014-0732-9

By:

Molina, Yamile;
Hempstead, Bridgette;
Thompson-Dodd, Jacci;
Weatherby, Shauna;
Dunbar, Claire;
Hohl, Sarah;
Malen, Rachel;
Ceballos, Rachel

Publication type:

Article

Understanding the Patient-Provider Communication Needs and Experiences of Latina and Non-Latina White Women Following an Abnormal Mammogram.

Published in:

Journal of Cancer Education, 2014, v. 29, n. 4, p. 781, doi. 10.1007/s13187-014-0654-6

By:

Molina, Yamile;
Hohl, Sarah;
Ko, Linda;
Rodriguez, Edgar;
Thompson, Beti;
Beresford, Shirley

Publication type:

Article

Psychosocial predictors of mammography history among Chinese American women without a recent mammogram.

Published in:

Ethnicity & Health, 2020, v. 25, n. 6, p. 862, doi. 10.1080/13557858.2018.1447653

By:

Miller, Brittany C.;
Sarma, Elizabeth A.;
Sun, Yiyuan;
Messina, Catherine R.;
Moyer, Anne

Publication type:

Article

A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 5, p. 728, doi. 10.1007/s10278-019-00249-5

By:

Karale, Vikrant A.;
Ebenezer, Joshua P.;
Chakraborty, Jayasree;
Singh, Tulika;
Sadhu, Anup;
Khandelwal, Niranjan;
Mukhopadhyay, Sudipta

Publication type:

Article

Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 618, doi. 10.1007/s10278-018-0168-6

By:

Mayo, Ray Cody;
Kent, Daniel;
Sen, Lauren Chang;
Kapoor, Megha;
Leung, Jessica W. T.;
Watanabe, Alyssa T.

Publication type:

Article

Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 2, p. 322, doi. 10.1007/s10278-018-0149-9

By:

Kumar, S. N.;
Fred, A. Lenin;
Varghese, P. Sebastin

Publication type:

Article

Pattern Recognition and Size Prediction of Microcalcification Based on Physical Characteristics by Using Digital Mammogram Images.

Published in:

Journal of Digital Imaging, 2018, v. 31, n. 6, p. 912, doi. 10.1007/s10278-018-0075-x

By:

Jothilakshmi, G. R.;
Raaza, Arun;
Rajendran, V.;
Sreenivasa Varma, Y.;
Guru Nirmal Raj, R.

Publication type:

Article

Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression.

Published in:

Journal of Digital Imaging, 2016, v. 29, n. 1, p. 115, doi. 10.1007/s10278-015-9813-5

By:

Bora, Vibha;
Kothari, Ashwin;
Keskar, Avinash

Publication type:

Article

Computer-Aided Diagnosis of Malignant Mammograms using Zernike Moments and SVM.

Published in:

Journal of Digital Imaging, 2015, v. 28, n. 1, p. 77, doi. 10.1007/s10278-014-9719-7

By:

Sharma, Shubhi;
Khanna, Pritee

Publication type:

Article

Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets.

Published in:

Journal of Digital Imaging, 2012, v. 25, n. 5, p. 591, doi. 10.1007/s10278-012-9452-z

By:

Li, Hui;
Giger, Maryellen;
Lan, Li;
Bancroft Brown, Jeremy;
Macmahon, Aoife;
Mussman, Mary;
Olopade, Olufunmilayo;
Sennett, Charlene

Publication type:

Article

Computerized Segmentation Method for Individual Calcifications Within Clustered Microcalcifications While Maintaining Their Shapes on Magnification Mammograms.

Published in:

Journal of Digital Imaging, 2012, v. 25, n. 3, p. 377, doi. 10.1007/s10278-011-9420-z

By:

Hizukuri, Akiyoshi;
Nakayama, Ryohei;
Nakako, Nobuo;
Kawanaka, Hiroharu;
Takase, Haruhiko;
Yamamoto, Koji;
Tsuruoka, Shinji

Publication type:

Article

Marker-Controlled Watershed for Lesion Segmentation in Mammograms.

Published in:

Journal of Digital Imaging, 2011, v. 24, n. 5, p. 754, doi. 10.1007/s10278-011-9365-2

By:

Xu, Shengzhou;
Liu, Hong;
Song, Enmin

Publication type:

Article

A New Fast Fractal Modeling Approach for the Detection of Microcalcifications in Mammograms.

Published in:

Journal of Digital Imaging, 2010, v. 23, n. 5, p. 538, doi. 10.1007/s10278-009-9224-6

By:

Sankar, Deepa;
Thomas, Tessamma

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

EXTENDED MAMMOGRAM CLASSIFICATION FROM TEXTURAL FEATURES.

Published in:

Studia Universitatis Babes-Bolyai, Informatica, 2022, v. 67, n. 2, p. 5, doi. 10.24193/subbi.2022.2.01

By:

BAJCSI, ADÉL;
CHIRA, CAMELIA;
ANDREICA, ANCA

Publication type:

Article

The Role of Patient-Centeredness in Predicting Compliance with Mammogram Recommendations: An Analysis of the Health Information National Trends Survey.

Published in:

Communication Research Reports, 2008, v. 25, n. 2, p. 131, doi. 10.1080/08824090802021863

By:

Silk, KamiJ.;
Westerman, CatherineKingsley;
Strom, Renee;
Andrews, KyleR.

Publication type:

Article

A Novel Approach for Detecting and Classifying Breast Cancer in Mammogram Images.

Published in:

International Journal of Intelligent Information Technologies, 2013, v. 9, n. 1, p. 21, doi. 10.4018/jiit.2013010102

By:

Shanthi, S.;
Murali Bhaskaran, V.

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