Author

Anmar Al-Sharif

King Abdulaziz University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

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Turki TurkiiD· 1 shared Y‐h. TaguchiiD· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperGenetic & Genomic Medicine

Turki TurkiORCID

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1 paper

Recent·Most cited

Genetic & Genomic MedicineLecture notes in computer sciencePeer-reviewedJan 1, 2021

End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images

Turki Turki, Anmar Al-Sharif, Y‐h. Taguchi

This paper develops and evaluates deep learning models to detect metastatic breast cancer in axillary lymph nodes using digital pathology images, finding DenseNet121 achieves the highest performance.

5 citations

humanimaging

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