Prostate cancer prediction through a hybrid deep learning method applied to histopathological image

The proposed network outperformed existing approaches, achieving an accuracy of 98.08% on the PANDA dataset and 97.07% on the Gleason-2019 dataset.

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Publication Details

Journal
Expert Review of Anticancer Therapy
Published
2025-05-24
DOI
https://doi.org/10.1080/14737140.2025.2512040
Citations
19
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
47.14
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article

Prostate cancer prediction through a hybrid deep learning method applied to histopathological image

Janjhyam Venkata Naga Ramesh, P. Poonkuzhali, R. Krishnamoorthy, Divya Nimma
19 citations
Expert Review of Anticancer Therapy
AI in cancer detection
47.14
article

Prostate cancer prediction through a hybrid deep learning method applied to histopathological image

Janjhyam Venkata Naga Ramesh, P. Poonkuzhali, R. Krishnamoorthy, Divya Nimma
article en
19 citations

Abstract

The proposed network outperformed existing approaches, achieving an accuracy of 98.08% on the PANDA dataset and 97.07% on the Gleason-2019 dataset.

Expert Review of Anticancer TherapyVol. 25(7)
R.M.D. Engineering College, University of Southern Mississippi (US), Graphic Era University (IN)
Openalex Percentile: Top 0%
AI in cancer detection
47.14
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