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

Activity by Year

2021-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperGenetic & Genomic Medicine

Turki TurkiORCID

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1 paper

Recent·Most cited

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.

Lecture notes in computer science · Jan 1, 2021Peer-reviewedGenetic & Genomic Medicine