Source: Medical & Biological Engineering & Computing. Jul2019, Vol. 57 Issue 7, p1497-1513. 17p. 3 Color Photographs, 11 Diagrams, 5 Charts, 8 Graphs.

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An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis.

Authors : Talatian Azad, Saeed¹ (AUTHOR); Ahmadi, Gholamreza¹ (AUTHOR) ; Rezaeipanah, Amin¹ (AUTHOR)

Subjects: *ARTIFICIAL neural networks; CANCER diagnosis; MULTILAYER perceptrons

Source: Journal of Experimental & Theoretical Artificial Intelligence. Dec2022, Vol. 34 Issue 6, p949-969. 21p.

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Breast Cancer Detection based on 3-D Mammography Images using Deep Learning Strategies.

Authors : Sagayam, K. Martin¹ ; Anton Jone, A. Amir¹ ; Cengiz, Korhan²

Subjects: *ARTIFICIAL neural networks; BREAST cancer diagnosis; DEEP learning

Source: Journal of Information Technology Management (JITM). 2022, Vol. 14 Issue 4, p2-18. 17p.

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Breast cancer diagnosis using Orca predation optimization algorithm.

Authors : Kaladevi, P.¹ (AUTHOR) .; Punitha, V.V.¹ (AUTHOR); Muthusankar, D.¹ (AUTHOR)

Subjects: OPTIMIZATION algorithms; BREAST; CANCER diagnosis

Source: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 3, p3855-3873. 19p.

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Timeliness of Breast Cancer Diagnosis and Initiation of Treatment in the National Breast and Cervical Cancer Early Detection Program, 1996-2005.

Authors : Richardson, Lisa C.; Royalty, Janet; Howe, William

Subjects: BREAST cancer diagnosis; MEDICAL screening; CANCER in women

Source: American Journal of Public Health. Sep2010, Vol. 100 Issue 9, p1769-1776. 8p. 3 Charts, 1 Graph.

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Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis.

Authors : R, Geetharamani¹; G, Sivagami¹

Subjects: *MULTIPLE correspondence analysis (Statistics); *DATA mining; BREAST cancer diagnosis

Source: Medical & Biological Engineering & Computing. Oct2021, Vol. 59 Issue 10, p1973-1989. 17p. 1 Diagram, 18 Charts.

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A new conditional region growing approach for microcalcification delineation in mammograms.

Authors : Touil, Asma^1,2,3 ; Kalti, Karim¹; Conze, Pierre-Henri³

Subjects: CALCIFICATIONS of the breast; BREAST cancer diagnosis; MAMMOGRAMS

Source: Medical & Biological Engineering & Computing. Sep2021, Vol. 59 Issue 9, p1795-1814. 20p. 3 Color Photographs, 4 Black and White Photographs, 6 Diagrams, 4 Charts.

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Mammogram mass segmentation and detection using Legendre neural network-based optimal threshold.

Authors : Sarangi, Sunita¹; Rath, Nrusingha Prasad²; Sahoo, Harish Kumar²

Subjects: BREAST cancer; BREAST cancer diagnosis; DEATH rate

Source: Medical & Biological Engineering & Computing. Apr2021, Vol. 59 Issue 4, p947-955. 9p. 4 Black and White Photographs, 2 Diagrams, 6 Charts, 1 Graph.

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A comprehensive hierarchical classification based on multi-features of breast DCE-MRI for cancer diagnosis.

Authors : Liu, Hui¹ ; Wang, Jinke¹; Gao, Jiyue²

Subjects: BREAST cancer; BREAST cancer diagnosis; MAGNETIC resonance imaging

Source: Medical & Biological Engineering & Computing. Oct2020, Vol. 58 Issue 10, p2413-2425. 13p. 1 Color Photograph, 1 Black and White Photograph, 1 Diagram, 7 Charts, 5 Graphs.

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نتائج البحث

فلترة النتائج

A discrete equilibrium optimization algorithm for breast cancer diagnosis.

Breast cancer diagnosis with a microwave thermoacoustic imaging technique-a numerical approach.

An intelligent ensemble classification method based on multi-layer perceptron neural network and evolutionary algorithms for breast cancer diagnosis.

Breast Cancer Detection based on 3-D Mammography Images using Deep Learning Strategies.

Breast cancer diagnosis using Orca predation optimization algorithm.

Timeliness of Breast Cancer Diagnosis and Initiation of Treatment in the National Breast and Cervical Cancer Early Detection Program, 1996-2005.

Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis.

A new conditional region growing approach for microcalcification delineation in mammograms.

Mammogram mass segmentation and detection using Legendre neural network-based optimal threshold.

A comprehensive hierarchical classification based on multi-features of breast DCE-MRI for cancer diagnosis.

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