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Senthilmani Rajendran on Muck Rack

Senthilmani Rajendran

As seen in: Nature, Wiley Online Library
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Articles

MeMoSA dataset: A multi-country collection of over 30,000 oral mucosa images with clinically labelled lesions - Scientific Data

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By Hui Ying Lee, Chee Seng Chan, Ruwan Jayasinghe, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, Arvind Muthukrishnan, Siti Mazlipah Ismail, Zuraiza Mohamad Zaini, Siew Wui Chan, Nurul Izyan Zainuddin, Muhammad Hassan, Karthick Chandra Sekar, Kathreena Kadir, Thomas George Kallarakkal, Rosnah Binti Zain, Senthilmani Rajendran, Chee Sun Liew, Sara Chew, Aliya Nabil, Wei Jie Sin, Davinna Satguna Rajah, Jyotsna Rimal, Chuey Chuan Tan, Thaddius Herman Maling, Alexander Ross Kerr
| Nature Verified
Abstract The rising incidence of oral cancer and associated poor prognosis, primarily due to delayed diagnosis, highlight the urgent need for artificial intelligence tools in clinical detection. However, efforts in this regard are hampered by the lack of large and ethnically heterogenous image datasets of oral lesions with clinically validated diagnoses. To address this gap, oral mucosa images captured with mobile device cameras were collected from cohorts spanning five countries.
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Image collection and annotation platforms to establish a multi‐source database of oral lesions

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By Senthilmani Rajendran, Kohgulakuhan Yogalingam, Thomas George Kallarakkal, Rosnah Binti Zain
| Wiley Online Library Verified
Corresponding Author Sok Ching Cheong Digital Health Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia Correspondence Sok Ching Cheong, Digital Health Research Unit, Cancer Research Malaysia, 47500 Subang Jaya, Selangor, Malaysia.
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