Author

Naphop Phatthamolrat

King Mongkut's Institute of Technology Ladkrabang

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1

Frequent Co-Authors

Kaung Myat NaingiD· 1 shared Rangsan Jomtarak· 1 shared Santhad ChuwonginiD· 1 shared Siridech BoonsangiD· 1 shared Teerawat TongloyiD· 1 shared Theerakamol PengsakuliD· 1 shared Veerayuth KittichaiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Kaung Myat NaingORCID

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1 paper

Recent·Most cited

Performance of Deep Convolutional Neural Network Approaches and Human Level in Detecting Mosquito Species

Rangsan Jomtarak, Veerayuth Kittichai, Theerakamol Pengsakul, Naphop Phatthamolrat, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang

The paper evaluates YOLO v3 for mosquito species classification, achieving high accuracy and sensitivity, and compares model performance with entomologist annotations.

bioRxiv · Jul 23, 2021 · PreprintBioinformatics