A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images

Nada M. Hassan; Safwat Hamad; Khaled Mahar

doi:10.1007/978-3-031-10522-7_37

A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images

Nada M. Hassan, Safwat Hamad, Khaled Mahar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings
Editors	Osvaldo Gervasi, Beniamino Murgante, Eligius M. Hendrix, David Taniar, Bernady O. Apduhan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	544-559
Number of pages	16
ISBN (Print)	9783031105210
DOIs	https://doi.org/10.1007/978-3-031-10522-7_37
State	Published - 2022
Externally published	Yes
Event	22nd International Conference on Computational Science and Its Applications, ICCSA 2022 - Malaga, Spain Duration: Jul 4 2022 → Jul 7 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13375 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Computational Science and Its Applications, ICCSA 2022
Country/Territory	Spain
City	Malaga
Period	7/4/22 → 7/7/22

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

CAD system
INbreast
Mammogram
Mass detection
Mosaic
YOLOv4

Access to Document

10.1007/978-3-031-10522-7_37

Cite this

Hassan, N. M., Hamad, S., & Mahar, K. (2022). A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images. In O. Gervasi, B. Murgante, E. M. Hendrix, D. Taniar, & B. O. Apduhan (Eds.), Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings (pp. 544-559). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13375 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-10522-7_37

A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images. / Hassan, Nada M.; Hamad, Safwat; Mahar, Khaled.
Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings. ed. / Osvaldo Gervasi; Beniamino Murgante; Eligius M. Hendrix; David Taniar; Bernady O. Apduhan. Springer Science and Business Media Deutschland GmbH, 2022. p. 544-559 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13375 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hassan, NM, Hamad, S & Mahar, K 2022, A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images. in O Gervasi, B Murgante, EM Hendrix, D Taniar & BO Apduhan (eds), Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13375 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 544-559, 22nd International Conference on Computational Science and Its Applications, ICCSA 2022, Malaga, Spain, 7/4/22. https://doi.org/10.1007/978-3-031-10522-7_37

Hassan NM, Hamad S, Mahar K. A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images. In Gervasi O, Murgante B, Hendrix EM, Taniar D, Apduhan BO, editors, Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 544-559. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-10522-7_37

Hassan, Nada M. ; Hamad, Safwat ; Mahar, Khaled. / A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images. Computational Science and Its Applications - ICCSA 2022 - 22nd International Conference, Proceedings. editor / Osvaldo Gervasi ; Beniamino Murgante ; Eligius M. Hendrix ; David Taniar ; Bernady O. Apduhan. Springer Science and Business Media Deutschland GmbH, 2022. pp. 544-559 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A Deep Learning Model for Mammography Mass Detection Using Mosaic and Reconstructed Multichannel Images

Publication series

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ASJC Scopus Subject Areas

Keywords

Access to Document

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