Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sanjana Patrick"'
Autor:
Praveen Birur N., Bofan Song, Sumsum P. Sunny, Keerthi G., Pramila Mendonca, Nirza Mukhia, Shaobai Li, Sanjana Patrick, Shubha G., Subhashini A.R., Tsusennaro Imchen, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, Vidya Bhushan R., Daksha Vaibhavi, Surya Rajeev, Sneha Pednekar, Ankita Dutta Banik, Rohan Michael Ramesh, Vijay Pillai, Kathryn O.S., Petra Wilder Smith, Alben Sigamani, Amritha Suresh, Rongguang Liang, Moni A. Kuriakose
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy of Convolutional-Neural-Network (CNN) enabled
Externí odkaz:
https://doaj.org/article/eb74f82e6fba4b6a8b7a4621651c0322
Autor:
Bofan Song, Chicheng Zhang, Sumsum Sunny, Dharma Raj KC, Shaobai Li, Keerthi Gurushanth, Pramila Mendonca, Nirza Mukhia, Sanjana Patrick, Shubha Gurudath, Subhashini Raghavan, Imchen Tsusennaro, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, Vidya Bushan, Rohan Ramesh, Vijay Pillai, Petra Wilder-Smith, Amritha Suresh, Moni Abraham Kuriakose, Praveen Birur, Rongguang Liang
Publikováno v:
Cancers, Vol 15, Iss 5, p 1421 (2023)
Convolutional neural networks have demonstrated excellent performance in oral cancer detection and classification. However, the end-to-end learning strategy makes CNNs hard to interpret, and it can be challenging to fully understand the decision-maki
Externí odkaz:
https://doaj.org/article/cc19eddb7e4144fc9b66a920ed6ba63d
Autor:
Bonney Lee James, Sumsum P. Sunny, Andrew Emon Heidari, Ravindra D. Ramanjinappa, Tracie Lam, Anne V. Tran, Sandeep Kankanala, Shiladitya Sil, Vidya Tiwari, Sanjana Patrick, Vijay Pillai, Vivek Shetty, Naveen Hedne, Darshat Shah, Nameeta Shah, Zhong-ping Chen, Uma Kandasarma, Subhashini Attavar Raghavan, Shubha Gurudath, Praveen Birur Nagaraj, Petra Wilder-Smith, Amritha Suresh, Moni Abraham Kuriakose
Publikováno v:
Cancers, Vol 13, Iss 14, p 3583 (2021)
Non-invasive strategies that can identify oral malignant and dysplastic oral potentially-malignant lesions (OPML) are necessary in cancer screening and long-term surveillance. Optical coherence tomography (OCT) can be a rapid, real time and non-invas
Externí odkaz:
https://doaj.org/article/6e1d606a2f7e426cb4c3e33227ec6275
Publikováno v:
Indian Journal of Dental Research, Vol 28, Iss 1, Pp 66-70 (2017)
Purpose: Hounsfield unit (HU) provides a quantitative evaluation of bone density. The assessment of bone density is essential for successful treatment plan. Although, multislice computed tomography (MSCT) is considered as gold standard in evaluating
Externí odkaz:
https://doaj.org/article/67af83769ac3424585b30afc60698303
Autor:
Ross D Uthoff, Bofan Song, Sumsum Sunny, Sanjana Patrick, Amritha Suresh, Trupti Kolur, G Keerthi, Oliver Spires, Afarin Anbarani, Petra Wilder-Smith, Moni Abraham Kuriakose, Praveen Birur, Rongguang Liang
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0207493 (2018)
Oral cancer is a growing health issue in a number of low- and middle-income countries (LMIC), particularly in South and Southeast Asia. The described dual-modality, dual-view, point-of-care oral cancer screening device, developed for high-risk popula
Externí odkaz:
https://doaj.org/article/afe2e415d61d496183481eec6f465e07
Autor:
Keerthi Gurushanth, Nirza Mukhia, Sumsum P Sunny, Bofan Song, Shubhasini A Raghavan, Shubha Gurudath, Pramila Mendonca, Shaobai Li, Sanjana Patrick, Tsusennaro Imchen, Shirley T. Leivon, Tulika Shruti, Trupti Kolur, Vivek Shetty, Vidya Bhushan R, Rohan Michael Ramesh, Vijay Pillai, Kathryn O. S, Petra Wilder Smith, Amritha Suresh, Rongguang Liang, Praveen Birur N, Moni A. Kuriakose
Oral Cancer is one of the most common causes of morbidity and mortality. Screening and mobile Health (mHealth) based approach facilitates remote early detection of Oral cancer in a resource-constrained settings. The emerging eHealth technology has ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86e93fd3771b38612cb4e8f7b01041e6
https://doi.org/10.21203/rs.3.rs-2754683/v1
https://doi.org/10.21203/rs.3.rs-2754683/v1
Publikováno v:
Tropical Doctor. 52:53-60
In a rural block in North East India, community health workers (CHW) empowered with a mobile phone-based application screened a total of 2,686 participants for Oral Potentially Malignant Lesions (OPMLs), and an oral medicine specialist recommended tr
Autor:
MoniA Kuriakose, PraveenN Birur, Sanjana Patrick, Saman Warnakulasuriya, Keerthi Gurushanth, ShubhasiniA Raghavan, GouraK Rath, Pankaj Chaturvedi, Vijay Chandru, Babu Mathew, Kumar Prabhash, Shubha Gurudath, Nirza Mukhia, SumsumP Sunny, Ravi Mehrotra, V Vivek, Shankargouda Patil, GSuresh Kumar, Shruthi Fasalkar, Rao Pratima
Publikováno v:
Indian journal of cancer. 59(3)
Oral cancer is usually preceded by oral potentially malignant disorders (OPMDs) and early detection can downstage the disease. The majority of OPMDs are asymptomatic in early stages and can be detected on routine oral examination. Though only a propo
Autor:
Bofan Song, Shaobai Li, Sumsum Sunny, Keerthi Gurushanth, Pramila Mendonca, Nirza Mukhia, Sanjana Patrick, Tyler Peterson, Shubha Gurudath, Subhashini Raghavan, Imchen Tsusennaro, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, Vidya Bushan, Rohan Ramesh, Vijay Pillai, Petra Wilder-Smith, Amritha Suresh, Moni Abraham Kuriakose, Praveen Birur, Rongguang Liang
Publikováno v:
Journal of biomedical optics, vol 27, iss 11
SignificanceOral cancer is one of the most prevalent cancers, especially in middle- and low-income countries such as India. Automatic segmentation of oral cancer images can improve the diagnostic workflow, which is a significant task in oral cancer i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f22b57f38a347a1bf61374101226f31e
https://escholarship.org/uc/item/1wh7t9nh
https://escholarship.org/uc/item/1wh7t9nh
Autor:
Kevin Chew Figueroa, Bofan Song, Sumsum Sunny, Shaobai Li, Keerthi Gurushanth, Pramila Mendonca, Nirza Mukhia, Sanjana Patrick, Shubha Gurudath, Subhashini Raghavan, Tsusennaro Imchen, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, Vidya Bushan, Rohan Ramesh, Vijay Pillai, Petra Wilder-Smith, Alben Sigamani, Amritha Suresh, Moni Abraham Kuriakose, Praveen Birur, Rongguang Liang
Publikováno v:
Journal of Biomedical Optics
Journal of biomedical optics, vol 27, iss 1
Journal of biomedical optics, vol 27, iss 1
Significance: Convolutional neural networks (CNNs) show the potential for automated classification of different cancer lesions. However, their lack of interpretability and explainability makes CNNs less than understandable. Furthermore, CNNs may inco