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Cited by 342AI in cancer detectionRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare

Deep learning-based breast cancer classification through medical imaging modalities: State of the art and research challenges

Murtaza, Ghulam, Shuib, Liyana, Abdul Wahab, Ainuddin Wahid, Mujtaba, Ghulam, Mujtaba, Ghulam, Nweke, Henry Friday, Al-garadi, Mohammed Ali, Zulfiqar, Fariha +2 more·2020·Artificial Intelligence Review
DOI 10.1007/s10462-019-09716-5
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  • SLR has been prominently utilized in numerous scholarly surveys, as evidenced by Murtaza et al. (2020); Saeed and Omlin (2023).

    “Offering a more expansive and accurate insight compared to conventional literature reviews, this approach has been prominently utilized in numerous scholarly surveys, as evidenced by Murtaza et al. (2020); Saeed and Omlin (2023).”

    From A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions (2025) · cites this paper as Murtaza et al. (2020)

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References 168 · Cited by 342

Authors
Murtaza, G., Shuib, L., Abdul Wahab, A. W., Mujtaba, G., Mujtaba, G., Nweke, H. F., Al-garadi, M. A., Zulfiqar, F., Raza, G., & Azmi, N. A.
Affiliations
  • University of Malaya (MY)
  • Qatar University (QA)
  • St. James's Hospital (IE)
  • National University of Malaysia (MY)
Corresponding author
  • Murtaza, Ghulam
  • Shuib, Liyana
ORCID
Venue
Artificial Intelligence Review
Publisher
Springer Science and Business Media LLC
Published
2019-05-25
Volume
53
Issue
3
Pages
1655-1720
ISSN
  • 0269-2821 (ISSN-L)
  • 1573-7462
DOI
10.1007/s10462-019-09716-5
OpenAlex
W2946053491
Cited by
342
References
168
Citations by year
2026: 36 · 2025: 50 · 2024: 69 · 2023: 80 · 2022: 59 · 2021: 33 · 2020: 13 · 2019: 2
FWCI
12.20
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Artificial Intelligence Review (publishedVersion)
  • Qatar University QSpace (Qatar University) (submittedVersion)
Funders
RG380-17AFR (RG380-17AFR)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
breast cancer classification, deep learning, medical imaging modalities, mammography, convolutional neural networks, pre-trained models, image preprocessing, medical image dataset, performance indicators, early cancer detection

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