نتائج البحث

AI-Driven quality assurance in mammography: Enhancing quality control efficiency through automated phantom image evaluation in South Korea.

• Authors : Yun H; Korea University College of Medicine, Seoul, Republic of Korea.; Noh S

Subjects: Mammography*/Mammography*/Mammography*/standards ; Mammography*/Mammography*/Mammography*/methods ; Mammography*/Mammography*/Mammography*/instrumentation

• Source: PloS one [PLoS One] 2025 Sep 08; Vol. 20 (9), pp. e0330091. Date of Electronic Publication: 2025 Sep 08 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol description.

• Authors : Hernández N; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Department of Radiology, Tampere University Hospital, Tampere, Finland.

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

• Source: PloS one [PLoS One] 2025 Aug 18; Vol. 20 (8), pp. e0321658. Date of Electronic Publication: 2025 Aug 18 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Comparative analysis of diagnostic performance in mammography: A reader study on the impact of AI assistance.

• Authors : Ramli Hamid MT; Department of Radiology, Faculty of Medicine, University Teknologi MARA, Sungai Buloh, Selangor, Malaysia.; Ab Mumin N

Subjects: Mammography*/Mammography*/Mammography*/methods ; Artificial Intelligence* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

• Source: PloS one [PLoS One] 2025 May 07; Vol. 20 (5), pp. e0322925. Date of Electronic Publication: 2025 May 07 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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National diagnostic reference levels for digital diagnostic and screening mammography in Uganda.

• Authors : Odongo, Denish¹ (AUTHOR) ; Musisi, Alen¹ (AUTHOR); Okello, Richard Omara¹ (AUTHOR)

• Source: PLoS ONE. 8/29/2024, Vol. 19 Issue 8, p1-12. 12p.

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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

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Mammography screening: Eliciting the voices of informed citizens.

• Authors : Jensen MD; Department of Public Health, The Research Unit for General Practice and Section of General Practice, University of Copenhagen, Copenhagen, Denmark.; Primary Health Care Research Unit, Region Zealand, Roskilde, Denmark.

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

• Source: PloS one [PLoS One] 2025 Jan 09; Vol. 20 (1), pp. e0317263. Date of Electronic Publication: 2025 Jan 09 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Predictive value of ultrasound doppler parameters in neoadjuvant chemotherapy response of breast cancer: Prospective comparison with magnetic resonance and mammography.

• Authors : Conz, Livia^1,2 (AUTHOR); Jales, Rodrigo Menezes³ (AUTHOR); Dória, Maira Teixeira⁴ (AUTHOR)

• Source: PLoS ONE. 6/4/2024, Vol. 19 Issue 6, p1-15. 15p.

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Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images.

• Authors : Ali M; College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.; Wu T

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

• Source: PloS one [PLoS One] 2024 Oct 01; Vol. 19 (10), pp. e0309421. Date of Electronic Publication: 2024 Oct 01 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Classification performance bias between training and test sets in a limited mammography dataset.

• Authors : Hou R; Department of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.; Department of Radiology, Duke University Medical Center, Duke University, Durham, North Carolina, United States of America.

Subjects: Mammography* ; Machine Learning*; Humans

• Source: PloS one [PLoS One] 2024 Feb 07; Vol. 19 (2), pp. e0282402. Date of Electronic Publication: 2024 Feb 07 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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The effect of breast density on the missed lesion rate in screening digital mammography determined using an adjustable-density breast phantom tailored to Japanese women.

• Authors : Yamamuro, Mika^1,2 (AUTHOR); Asai, Yoshiyuki¹ (AUTHOR) ; Hashimoto, Naomi¹ (AUTHOR)

• Source: PLoS ONE. 1/7/2021, Vol. 16 Issue 1, p1-13. 13p.

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