An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification

This method illustrates potential in aiding initial and accurate breast cancer detection, possibly leading to improved patient outcomes.

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Publication Details

Journal
International Journal of Medical Robotics and Computer Assisted Surgery
Published
2025-02-01
DOI
https://doi.org/10.1002/rcs.70043
Citations
2
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
4.96
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article

An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification

Sarath Kumar Ravichandran, V. KRISHNASAMY, Ramkumar Muthukrishnan, A. Balasubramaniam
2 citations
International Journal of Medical Robotics and Computer Assisted Surgery
AI in cancer detection
4.96
article

An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification

Sarath Kumar Ravichandran, V. KRISHNASAMY, Ramkumar Muthukrishnan, A. Balasubramaniam
article en
2 citations

Abstract

This method illustrates potential in aiding initial and accurate breast cancer detection, possibly leading to improved patient outcomes.

International Journal of Medical Robotics and Computer Assisted SurgeryVol. 21(1)
Karpagam Academy of Higher Education (IN)
Good health and well-being
Openalex Percentile: Top 6%
AI in cancer detection
4.96
DOIOpen Access PDFOpenAlex
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An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification — Sarath Kumar Ravichandran, V. KRISHNASAMY, et al. · International Journal of Medical Robotics and Computer Assisted Surgery (2025) | TGRS Research Map | TGRS