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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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Accuracy evaluation of digital mammography and its combination with magnetic resonance imaging in the diagnosis of ductal carcinoma in situ.

• Authors : Lin, R.¹ ; Xiao, G.¹; Xiu, W.¹

• Source: International Journal of Radiation Research. Jul2025, Vol. 23 Issue 3, p707-713. 7p.

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Impact of digital breast tomosynthesis on screening performance and interval cancer rates compared to digital mammography: A meta-analysis.

• Authors : Liu X; The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China.; Yang T

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

• Source: PloS one [PLoS One] 2025 Jan 31; Vol. 20 (1), pp. e0315466. Date of Electronic Publication: 2025 Jan 31 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Development and validation of the surmising model for volumetric breast density using X-ray exposure conditions in digital mammography.

• Authors : Yamamuro M; Radiology Center, Kindai University Hospital, 377-2, Osaka-Sayama, Osaka, 589-8511, Japan.; Asai Y

Subjects: Mammography*/Mammography*/Mammography*/methods ; Breast Density*/Breast Density*/Breast Density*/physiology; Humans

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Jan; Vol. 63 (1), pp. 169-179. Date of Electronic Publication: 2024 Sep 02.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Breast percent density changes in digital mammography pre- and post-radiotherapy.

• Authors : Mohammadi S; Department of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.; Ghaderi S

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

• Source: Journal of medical radiation sciences [J Med Radiat Sci] 2024 Sep; Vol. 71 (3), pp. 375-383. Date of Electronic Publication: 2024 Apr 03.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: United States NLM ID: 101620352 Publication Model: Print-Electronic Cited Medium:

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Feasibility study comparing synthesized mammography with digital breast tomosynthesis and digital mammography for simulated first round screening in a single BreastScreen NSW centre.

• Authors : Dhurandhar V; Department of Radiology, Royal North Shore Hospital, Sydney, New South Wales, Australia.; Bhola N

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

• Source: Journal of medical imaging and radiation oncology [J Med Imaging Radiat Oncol] 2024 Jun; Vol. 68 (4), pp. 401-411. Date of Electronic Publication: 2024 May 02.Publisher: Wiley-Blackwell Pub. Asia Country of Publication: Australia NLM ID: 101469340 Publication Model: Print-Electronic Cited Medium: Internet

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Comparison of Chromosomal Damage caused by Conventional and Digital Mammography in Human Peripheral Lymphocytes.

• Authors : Nourin, S¹ (AUTHOR); Tamizh Selvan, G² (AUTHOR); Vishakh, R² (AUTHOR)

• Source: Medical Journal of Dr. D.Y. Patil Vidyapeeth. Jan/Feb2025, Vol. 18 Issue 1, p19-23. 5p.

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Differentiating types of breast cancer from digital mammography images with artificial intelligence methods

• Authors : Ela Kaplan; Orhan Yaman; Hacı Taner Bulut

Subjects: Artificial Reality; Artificial intelligence; breast cancer

• Source: Volume: 11, Issue: 2279-288The European Research Journal

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Assessment of screen-recalled abnormalities for digital breast tomosynthesis versus digital mammography screening in the BreastScreen Maroondah trial.

• Authors : Li T; The Daffodil Centre, the University of Sydney, a Joint Venture with Cancer Council NSW, Sydney, New South Wales, Australia.; Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.

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

• Source: Journal of medical imaging and radiation oncology [J Med Imaging Radiat Oncol] 2023 Apr; Vol. 67 (3), pp. 242-251. Date of Electronic Publication: 2022 Jun 29.Publisher: Wiley-Blackwell Pub. Asia Country of Publication: Australia NLM ID: 101469340 Publication Model: Print-Electronic Cited Medium: Internet

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Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model.

• Authors : Larroza, Andrés¹ (AUTHOR) ; Pérez-Benito, Francisco Javier¹ (AUTHOR) ; Tendero, Raquel¹ (AUTHOR)

• Source: Diagnostics (2075-4418). May2024, Vol. 14 Issue 10, p1015. 14p.

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