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A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities

Crossref DOI link: https://doi.org/10.1007/s11042-023-16634-w

Published Online: 2023-09-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Thakur, Neha

Kumar, Pardeep http://orcid.org/0000-0001-5303-7219
Kumar, Amit
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Text and Data Mining valid from 2023-09-28

Version of Record valid from 2023-09-28
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Article History

Received: 14 June 2022

Revised: 19 May 2023

Accepted: 23 August 2023

First Online: 28 September 2023

Declarations

:

: There is no involvement of Human Participants and/or Animals in this research.

: A systematic review was conducted for this work, thus no ethical approval or informed consent was required.

: The authors declare no competing financial or non-financial interests.

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