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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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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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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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BCECNN: an explainable deep ensemble architecture for accurate diagnosis of breast cancer.

• Authors : Ergün U; Department of Biomedical Engineering, Faculty of Engineering, Afyon Kocatepe University, Afyonkarahisar, Turkey. .; Çoban T

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

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Oct 13; Vol. 25 (1), pp. 374. Date of Electronic Publication: 2025 Oct 13.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques.

• Authors : Vijayalakshmi S; Department of Electronics and Communication Engineering, Sona College of Technology, Salem, 636005, Tamilnadu, India.; Pandey BK

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

• Source: Scientific reports [Sci Rep] 2025 Jul 01; Vol. 15 (1), pp. 22212. Date of Electronic Publication: 2025 Jul 01.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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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 prediction of mammographic breast density using screening data.

• Authors : Chen C; Taizhou Key Laboratory of Minimally Invasive Interventional Therapy & Artificial Intelligence, Taizhou Branch of Zhejiang Cancer Hospital (Taizhou Cancer Hospital), Taizhou, 317502, Zhejiang, China.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, TaiZhou, 317502, Zhejiang, China.

Subjects: Deep Learning* ; Breast Density* ; Mammography*/Mammography*/Mammography*/methods

• Source: Scientific reports [Sci Rep] 2025 Apr 04; Vol. 15 (1), pp. 11602. Date of Electronic Publication: 2025 Apr 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features.

• Authors : Singh AR; Department of Computational Intelligence, SRM Institute of Science and Technology, Chennai, Tamil Nadu, 603203, India.; Athisayamani S

Subjects: Mammography*/Mammography*/Mammography*/methods ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Deep Learning*

• Source: Scientific reports [Sci Rep] 2025 Feb 24; Vol. 15 (1), pp. 6562. Date of Electronic Publication: 2025 Feb 24.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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

• Authors : Seo JW; Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, 21999, Republic of Korea.; Kim YJ

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

• Source: Scientific reports [Sci Rep] 2025 Feb 05; Vol. 15 (1), pp. 4406. Date of Electronic Publication: 2025 Feb 05.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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