نتائج البحث

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

• Authors : Zhang, Daqu; Dihge, Looket; Bendahl, Pär-Ola ...

Subjects: Medical and Health Sciences; Clinical Medicine; Radiology and Medical Imaging

• Source: npj Digital Medicine. 8(1)

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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework.

• Authors : Hussein AA; Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Urmia University, Urmia, 7561-51818, West Azerbaijan, Iran. .; Valizadeh M

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

• Source: Scientific reports [Sci Rep] 2025 Jul 11; Vol. 15 (1), pp. 25071. Date of Electronic Publication: 2025 Jul 11.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Improving radiologist's ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback

• Authors : Trieu, Phuong Dung (Yun); Lewis, Sarah J.; Li, Tong

Subjects: mammograms; cancer detection

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Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance.

• Authors : Elkorany AS; Department of Electronics and Electrical Comm. Eng., Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt.; Elsharkawy ZF

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging; Humans ; Female

• Source: Scientific reports [Sci Rep] 2023 Feb 15; Vol. 13 (1), pp. 2663. Date of Electronic Publication: 2023 Feb 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning.

• Authors : Gudhe NR; Institute of Clinical Medicine, Pathology and Forensic Medicine, Multidisciplinary Cancer Research community, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland. .; Behravan H

Subjects: Breast Density* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging; Breast/Breast/Breast/diagnostic imaging

• Source: Scientific reports [Sci Rep] 2022 Jul 14; Vol. 12 (1), pp. 12060. Date of Electronic Publication: 2022 Jul 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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A generative adversarial network for synthetization of regions of interest based on digital mammograms.

• Authors : Oyelade ON; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa. .; Ezugwu AE

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Neural Networks, Computer*; Benchmarking

• Source: Scientific reports [Sci Rep] 2022 Apr 13; Vol. 12 (1), pp. 6166. Date of Electronic Publication: 2022 Apr 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Improving radiologist's ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback.

• Authors : Trieu PDY; Faculty of Medicine and Health, The University of Sydney, Level 7 - D18, Susan Wakil Health Building, Sydney, NSW, 2006, Australia. .; University of Medicine and Pharmacy, 215 Hong Bang, District 5, Ho Chi Minh City, Vietnam. .

Subjects: Breast/Breast/Breast/*diagnostic imaging ; Breast Neoplasms/Breast Neoplasms/Breast Neoplasms/*diagnosis ; Education, Medical, Continuing/Education, Medical, Continuing/Education, Medical, Continuing/*organization & administration

• Source: Scientific reports [Sci Rep] 2021 May 10; Vol. 11 (1), pp. 9899. Date of Electronic Publication: 2021 May 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis

• Authors : Daesung Kang; Hye Mi Gweon; Na Lae Eun

Subjects: Breast / diagnostic imaging; Breast Diseases* / diagnosis; Breast Diseases* / diagnostic imaging

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Factors associated with false-positive screening mammography in São Paulo, Brazil.

• Authors : Câmara AB; Department of Epidemiology, School of Public Health, University of São Paulo and Oncocentro Foundation of São Paulo, São Paulo, Brazil. .; Oncocentro Foundation of São Paulo, São Paulo, Brazil. .

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 10; Vol. 15 (1), pp. 4849. Date of Electronic Publication: 2025 Feb 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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The association of breast mitogens with mammographic densities

• Authors : Boyd, NF; Stone, J; Martin, LJ

Subjects: Journal Article

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