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Mammography.

DEFINITION: Mammography is a radiographic procedure used to examine internal breast tissue for possible abnormalities. Mammograms are either screening or ... More
Salem Health: Cancer (Online Edition), 2025. 3p.

Academic Journal

Barriers and limitations for undergoing mammography screenings among Kuwaiti women (aged 40-69) attending primary health care centers.

Authors : Alfailakawi O; Medical Student at the College of Medicine and Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.; Alostath H

Subjects: Mammography*/Mammography*/Mammography*/statistics & numerical data ; Mammography*/Mammography*/Mammography*/psychology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis

Source: BMC primary care [BMC Prim Care] 2025 Sep 29; Vol. 26 (1), pp. 295. Date of Electronic Publication: 2025 Sep 29.Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 9918300889006676 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Facilitators and barriers to mammogram screening uptake among Saudi women: A systematic review.

Authors : Alkhaifi SA; From the Department of Maternity and Childhood, School of Nursing, King Abdulaziz University, Jeddah, Saudi Arabia.

Subjects: Mammography*/Mammography*/Mammography*/statistics & numerical data ; Mammography*/Mammography*/Mammography*/psychology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis

Source: Saudi medical journal [Saudi Med J] 2025 Sep; Vol. 46 (9), pp. 965-975.Publisher: Medical Services Department, Saudi Arabian Armed Forces, Ministry Of Defence And Aviation Country of Publication: Saudi Arabia NLM ID: 7909441

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Academic Journal

Local Diagnostic Reference Levels in Digital Breast Tomosynthesis.

Authors : Barnes P; Austin Health, Repatriation Hospital Campus, Heidelberg, Victoria, Australia.; Kostidis M

Subjects: Mammography*/Mammography*/Mammography*/standards ; Mammography*/Mammography*/Mammography*/methods ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

Source: Journal of medical radiation sciences [J Med Radiat Sci] 2025 Sep; Vol. 72 (3), pp. 341-349. Date of Electronic Publication: 2025 Jun 25.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: United States NLM ID: 101620352 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Deep learning-based bacterial foraging optimization algorithm to improve digital mammography-based breast cancer detection.

Authors : Banumathy D; Paavai Engineering College, Pachal, Namakkal, 637018, India. .; Karthikeyan D

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis ; Deep Learning*

Source: Scientific reports [Sci Rep] 2025 Oct 29; Vol. 15 (1), pp. 37761. Date of Electronic Publication: 2025 Oct 29.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

A multi stage deep learning model for accurate segmentation and classification of breast lesions in mammography.

Authors : Ahmad S; Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia. .; School of Computer Science and Engineering, Lovely Professional University, Phagwara, 144411, Punjab, India. .

Subjects: Deep Learning* ; Mammography*/Mammography*/Mammography*/methods ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

Source: Scientific reports [Sci Rep] 2025 Oct 23; Vol. 15 (1), pp. 37103. Date of Electronic Publication: 2025 Oct 23.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

A systematic literature review on mammography: deep learning techniques for breast cancer detection with global and Asian perspectives.

Authors : Amin A; Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.; U DA

Subjects: Deep Learning* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis

Source: BMC cancer [BMC Cancer] 2025 Oct 22; Vol. 25 (1), pp. 1627. Date of Electronic Publication: 2025 Oct 22.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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Academic Journal

Investigation of the effectiveness of cooling spray on mammography comfort.

Authors : Betos Koçak M; Department of Family Medicine, Faculty of Medicine Balıkesir Atatürk City Hospital, Health Sciences University, Balıkesir, Turkey. .; Aytekin A

Subjects: Mammography*/Mammography*/Mammography*/adverse effects ; Mammography*/Mammography*/Mammography*/methods ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

Source: Scientific reports [Sci Rep] 2025 Oct 21; Vol. 15 (1), pp. 36801. Date of Electronic Publication: 2025 Oct 21.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Automated Software Evaluation in Screening Mammography: A Scoping Review of Image Quality and Technique Assessment.

Authors : Spuur KM; Faculty of Science and Health, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.; Singh CL

Subjects: Mammography*/Mammography*/Mammography*/methods ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Software*

Source: Current oncology (Toronto, Ont.) [Curr Oncol] 2025 Oct 15; Vol. 32 (10). Date of Electronic Publication: 2025 Oct 15.Publisher: MDPI Country of Publication: Switzerland NLM ID: 9502503 Publication Model: Electronic Cited Medium: Internet ISSN: 1718-7729

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Academic Journal

Developing a Typology of Women's Attitudes Towards AI Use in the BreastScreen Programme-A Qualitative Study With BreastScreen Victoria Clients.

Authors : Omori M; BreastScreen Victoria, Melbourne, Victoria, Australia.; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.

Subjects: Patient Acceptance of Health Care*/Patient Acceptance of Health Care*/Patient Acceptance of Health Care*/psychology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/psychology

Source: Health expectations : an international journal of public participation in health care and health policy [Health Expect] 2025 Oct; Vol. 28 (5), pp. e70415.Publisher: Wiley Country of Publication: England NLM ID: 9815926 Publication Model: Print Cited Medium: Internet ISSN: 1369-7625 (Electronic)

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Academic Journal

Novel Breast Cancer Risk Assessment Tools for Pre- and Postmenopausal Asian Women: Development and Validation in a Nationwide Mammographic Screening Cohort.

Authors : Jung W; Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Park YM

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/epidemiology ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnosis ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

Source: Cancer research and treatment [Cancer Res Treat] 2025 Oct; Vol. 57 (4), pp. 1051-1063. Date of Electronic Publication: 2025 Jan 31.Publisher: Korean Cancer Association Country of Publication: Korea (South) NLM ID: 101155137 Publication Model: Print-Electronic Cited Medium: Internet

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نتائج البحث

فلترة النتائج

Mammography.

Barriers and limitations for undergoing mammography screenings among Kuwaiti women (aged 40-69) attending primary health care centers.

Facilitators and barriers to mammogram screening uptake among Saudi women: A systematic review.

Local Diagnostic Reference Levels in Digital Breast Tomosynthesis.

Deep learning-based bacterial foraging optimization algorithm to improve digital mammography-based breast cancer detection.

A multi stage deep learning model for accurate segmentation and classification of breast lesions in mammography.

A systematic literature review on mammography: deep learning techniques for breast cancer detection with global and Asian perspectives.

Investigation of the effectiveness of cooling spray on mammography comfort.

Automated Software Evaluation in Screening Mammography: A Scoping Review of Image Quality and Technique Assessment.

Developing a Typology of Women's Attitudes Towards AI Use in the BreastScreen Programme-A Qualitative Study With BreastScreen Victoria Clients.

Novel Breast Cancer Risk Assessment Tools for Pre- and Postmenopausal Asian Women: Development and Validation in a Nationwide Mammographic Screening Cohort.

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