نتائج البحث

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:

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Learning multi-frequency features in convolutional network for mammography classification.

• Authors : Wang Y; School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, People's Republic of China.; Qi Y

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

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Jul; Vol. 60 (7), pp. 2051-2062. Date of Electronic Publication: 2022 May 13.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium:

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Contrast-enhanced mammography for breast cancer detection and diagnosis with high concentration iodinated contrast medium.

• Authors : Pediconi F; Department of Radiological, Oncological and Pathological Sciences, Sapienza, University of Rome, Policlinico 'Umberto I', Rome, Italy.; Speranza A

• Source: Insights into imaging [Insights Imaging] 2025 Jun 14; Vol. 16 (1), pp. 124. Date of Electronic Publication: 2025 Jun 14.Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print

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Mammography-based artificial intelligence for breast cancer detection, diagnosis, and BI-RADS categorization using multi-view and multi-level convolutional neural networks.

• Authors : Tan H; Department of Radiology, Henan Provincial People's Hospital & People's Hospital of Zhengzhou University, Zhengzhou, China.; Imaging Diagnosis of Neurological Diseases and Research Laboratory of Henan Province, Zhengzhou, China.

• Source: Insights into imaging [Insights Imaging] 2025 May 21; Vol. 16 (1), pp. 109. Date of Electronic Publication: 2025 May 21.Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print

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Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammography.

• Authors : Camurdan O; Department of Radiology, Acibadem Healthcare Group, Istanbul, Turkey.; Tanyel T

• Source: Insights into imaging [Insights Imaging] 2025 Mar 19; Vol. 16 (1), pp. 60. Date of Electronic Publication: 2025 Mar 19.Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print

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Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography.

• Authors : Petropoulos AE; Department of Medical Physics, School of Medicine, University of Patras, 26504, Patras, Greece.; Skiadopoulos SG

Subjects: Image Processing, Computer-Assisted* ; Mammography*; Breast/Breast/Breast/*diagnostic imaging

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2020 Jan; Vol. 58 (1), pp. 187-209. Date of Electronic Publication: 2019 Dec 07.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium:

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BraNet: a mobil application for breast image classification based on deep learning algorithms.

• Authors : Jiménez-Gaona Y; Departamento de Química y Ciencias Exactas, Universidad Técnica Particular de Loja, San Cayetano Alto s/n CP1101608, Loja, Ecuador. .; Instituto de Instrumentación para la Imagen Molecular I3M, Universitat Politécnica de Valencia, 46022, Valencia, Spain. .

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

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Sep; Vol. 62 (9), pp. 2737-2756. Date of Electronic Publication: 2024 May 02.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium:

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A novel machine learning model for breast cancer detection using mammogram images.

• Authors : Kalpana P; Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, 641042, India. .; Selvy PT

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

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Jul; Vol. 62 (7), pp. 2247-2264. Date of Electronic Publication: 2024 Apr 05.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium:

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Religiosity Level and Mammography Performance Among Arab and Jewish Women in Israel.

• Authors : Pinchas-Mizrachi R; School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel. .; Ramat-Gan Academic College Israel, Jacob Arnon 5/8, 9371705, Jerusalem, Israel. .

Subjects: Arabs* ; Jews*; Aged

• Source: Journal of religion and health [J Relig Health] 2021 Jun; Vol. 60 (3), pp. 1877-1894. Date of Electronic Publication: 2020 Oct 29.Publisher: Springer Country of Publication: United States NLM ID: 2985199R Publication Model: Print-Electronic Cited Medium:

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Contrast-enhanced mammography BI-RADS: a case-based approach to radiology reporting.

• Authors : Nicosia L; Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy. .; Battaglia O

• Source: Insights into imaging [Insights Imaging] 2024 Feb 08; Vol. 15 (1), pp. 37. Date of Electronic Publication: 2024 Feb 08.Publisher: Springer Country of Publication: Germany NLM ID: 101532453 Publication Model: Electronic Cited Medium: Print

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