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Assessment of an unsupervised denoising approach based on Noise2Void in digital mammography.

• Authors : Angelone, Francesca¹ (AUTHOR); Franco, Alessandra² (AUTHOR); Ponsiglione, Alfonso Maria² (AUTHOR)

• Source: Scientific Reports. 10/13/2025, Vol. 15 Issue 1, p1-13. 13p.

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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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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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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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Mammography screening status of women aged 40 and older in eastern Iran using the precaution adoption process model (PAPM).

• Authors : Sahebi MS; Health Education and Health Promotion, Student Research Committee, School of Health, Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.; Sharifzadeh G

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

• Source: Scientific reports [Sci Rep] 2025 Jul 13; Vol. 15 (1), pp. 25329. Date of Electronic Publication: 2025 Jul 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach.

• Authors : Wang Y; Shandong Research Institute of Industrial Technology, Jinan, 250000, China.; Ali M

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

• Source: Scientific reports [Sci Rep] 2025 Jul 08; Vol. 15 (1), pp. 24434. Date of Electronic Publication: 2025 Jul 08.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Identifying breast cancer risk factors and evaluating biennial mammography screening efficacy using big data analysis in Taiwan.

• Authors : Huang CC; Comprehensive Breast Health Center and Division of Breast Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.

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

• Source: Scientific reports [Sci Rep] 2025 May 09; Vol. 15 (1), pp. 16250. Date of Electronic Publication: 2025 May 09.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Identifying key factors in the mammography procedure for delineating the pectoral muscle using the analytic hierarchy process.

• Authors : Yagahara A; Faculty of Health Sciences, Hokkaido University of Science, Sapporo, Japan. .; Yoshida A

Subjects: Pectoralis Muscles*/Pectoralis Muscles*/Pectoralis Muscles*/diagnostic imaging ; Pectoralis Muscles*/Pectoralis Muscles*/Pectoralis Muscles*/anatomy & histology ; Mammography*/Mammography*/Mammography*/methods

• Source: Scientific reports [Sci Rep] 2025 Mar 07; Vol. 15 (1), pp. 7966. Date of Electronic Publication: 2025 Mar 07.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Perceived everyday discrimination, socioeconomic status, and mammography behavior.

• Authors : Vinegar J; Department of Public Health, California State University, Fullerton, USA.; Ericson M

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

• Source: Scientific reports [Sci Rep] 2024 Dec 28; Vol. 14 (1), pp. 30886. Date of Electronic Publication: 2024 Dec 28.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks.

• Authors : Zeng S; Department of General Surgery, Institute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Shenzhen University General Hospital, Shenzhen University, Shenzhen, China.; Chen H

Subjects: Receptor, ErbB-2*/Receptor, ErbB-2*/Receptor, ErbB-2*/metabolism ; Receptor, ErbB-2*/Receptor, ErbB-2*/Receptor, ErbB-2*/genetics ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

• Source: Scientific reports [Sci Rep] 2025 Feb 09; Vol. 15 (1), pp. 4826. Date of Electronic Publication: 2025 Feb 09.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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