Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sumsum Sunny"'
Autor:
Sumsum Sunny, Arun Baby, Bonney Lee James, Dev Balaji, Aparna N V, Maitreya H Rana, Praveen Gurpur, Arunan Skandarajah, Michael D'Ambrosio, Ravindra Doddathimmasandra Ramanjinappa, Sunil Paramel Mohan, Nisheena Raghavan, Uma Kandasarma, Sangeetha N, Subhasini Raghavan, Naveen Hedne, Felix Koch, Daniel A Fletcher, Sumithra Selvam, Manohar Kollegal, Praveen Birur N, Lance Ladic, Amritha Suresh, Hardik J Pandya, Moni Abraham Kuriakose
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0224885 (2019)
Early detection of oral cancer necessitates a minimally invasive, tissue-specific diagnostic tool that facilitates screening/surveillance. Brush biopsy, though minimally invasive, demands skilled cyto-pathologist expertise. In this study, we explored
Externí odkaz:
https://doaj.org/article/778ad962b6e14a218000ab3e191abedb
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:
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
Volume 15
Issue 5
Pages: 1421
Cancers, vol 15, iss 5
Volume 15
Issue 5
Pages: 1421
Cancers, vol 15, iss 5
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::f20bd23463cd9e67e87685b81e346a3c
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d2a823bdcbaad895b51d920b3a5ea2f
http://europepmc.org/articles/PMC8754153
http://europepmc.org/articles/PMC8754153
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