Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Vidya Bushan"'
Autor:
Sumsum P Sunny, Ravindra D R, Aditi Hariharan, Nirza Mukhia, Shubha Gurudath, Keerthi G, Subhashini Raghavan, Trupti Kolur, Vivek Shetty, Vidya Bushan R, Avadhesha Surolia, Satyajit T, Pavithra Chandrashekhar, Nisheena R, Hardik J Pandya, Vijay Pillai, Praveen Birur N, Moni A Kuriakose, Amritha Suresh
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291972 (2023)
The high prevalence of oral potentially-malignant disorders exhibits diverse severity and risk of malignant transformation, which mandates a Point-of-Care diagnostic tool. Low patient compliance for biopsies underscores the need for minimally-invasiv
Externí odkaz:
https://doaj.org/article/24df612f2b054a70834e621e5ffb896e
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:
Sushma Mehta, Vidita Powle, Naveen H Chandrasekhar, Vijay Pillai, Vidya Bushan, Vivek Shetty, Moni A Kuriakose, H V Sunil, K S Shivaprasad, Kranti S Khadilkar, Subramanian Kannan
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 22, Iss 6, Pp 863-865 (2018)
Externí odkaz:
https://doaj.org/article/37d6af382c9d4b2b86bdde9e93a9d044
Autor:
Sunny, Sumsum P., D. R., Ravindra, Hariharan, Aditi, Mukhia, Nirza, Gurudath, Shubha, G., Keerthi, Raghavan, Subhashini, Kolur, Trupti, Shetty, Vivek, R., Vidya Bushan, Surolia, Avadhesha, T., Satyajit, Chandrashekhar, Pavithra, R., Nisheena, Pandya, Hardik J., Pillai, Vijay, N., Praveen Birur, Kuriakose, Moni A., Suresh, Amritha
Publikováno v:
PLoS ONE; 9/25/2023, Vol. 18 Issue 9, p1-24, 24p
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
Autor:
Shubha Gurudath, Shirley T Leivon, Praveen Birur, Rohan Ramesh, Vivek Shetty, Nirza Mukhia, Vidya Bushan, Alben Sigamani, Pramila Mendonca, Imchen Tsusennaro, Subhashini Raghavan, Petra Wilder-Smith, Sumsum P. Sunny, Moni Abraham Kuriakose, Trupti Kolur, Sanjana Patrick, Keerthi Gurushanth, Rongguang Liang, Shaobai Li, Amritha Suresh, Bofan Song, Tyler Peterson, Vijay Pillai
Publikováno v:
Journal of biomedical optics, vol 26, iss 10
Journal of Biomedical Optics
Journal of Biomedical Optics
Significance: Early detection of oral cancer is vital for high-risk patients, and machine learning-based automatic classification is ideal for disease screening. However, current datasets collected from high-risk populations are unbalanced and often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::331a3bebe6d8da7355c4778f23fdbbce
https://escholarship.org/uc/item/4f96x0mf
https://escholarship.org/uc/item/4f96x0mf
Autor:
Shubha Gurudath, Rohan Ramesh, Keerthi Gurushanth, Praveen Birur, Sanjana Patrick, Vijay Pillai, Tsusennaro Imchen, Rongguang Liang, Vivek Shetty, Trupti Kolur, Pramila Mendonca, Moni Abraham Kuriakose, Amritha Suresh, Vidya Bushan, Petra Wilder-Smith, Bofan Song, Alben Sigamani, Natzem Lima, Subhashini Raghavan, Nirza Mukhia, Shirley T Leivon, Shaobai Li, Sumsum P. Sunny
Publikováno v:
Journal of biomedical optics, vol 26, iss 6
Journal of Biomedical Optics
Journal of Biomedical Optics
Significance: Oral cancer is among the most common cancers globally, especially in low- and middle-income countries. Early detection is the most effective way to reduce the mortality rate. Deep learning-based cancer image classification models usuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa521e81607affa94d5f1c0c8b9a5f8
https://escholarship.org/uc/item/5gn323h4
https://escholarship.org/uc/item/5gn323h4
Autor:
Praveen Birur, Rohan Ramesh, Vidya Bushan, Keerthi Gurushanth, Vijay Pillai, Rongguang Liang, Vivek Shetty, Alben Sigamani, Imchen Tsusennaro, Moni Abraham Kuriakose, Petra Wilder-Smith, Amritha Suresh, Shubha Gurudath, Pramila Mendonca, Bofan Song, Tyler Peterson, Sumsum P. Sunny, Shirley T Leivon, Nirza Mukhia, Shaobai Li, Subhashini Raghavan, Trupti Kolur, Sanjana Patrick
Publikováno v:
Biomedical optics express, vol 12, iss 10
In medical imaging, deep learning-based solutions have achieved state-of-the-art performance. However, reliability restricts the integration of deep learning into practical medical workflows since conventional deep learning frameworks cannot quantita
Autor:
Ankita Dutta Banik, Shubha G, Rohan Ramesh, Sneha Pednekar, Praveen Birur N, Trupti Kolur, Amritha Suresh, Petra Wilder Smith, Surya Rajeev, Bofan Song, Nirza Mukhia, Shaobai Li, Vidya Bushan R, Vijay Pillai, Moni Abraham Kuriakose, Alben Sigamani, Tsusennaro Imchen, Shubhashini Ar, Sanjana Patrick, Rongguang Liang, Pramila Mendonca, Kathryn Osann, Daksha Vaibhavi, Sumsum P. Sunny, Vivek Shetty, Keerthi G, Shirley T Leivon
Publikováno v:
SSRN Electronic Journal.
Background: Early detection of oral cancer in low-resource settings necessitates a robust, Point-of-Care screening tool that can empower Frontline-Health-Workers (FHW) for triaging high-risk populations. This study was conducted to validate the accur