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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:
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
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
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
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 27, Iss 4, Pp 608-611 (2015)
Radiolucent mandibular lesions are commonly evident on head and neck imaging and present a diagnostic dilemma for the radiologist. These may represent a broad spectrum of lesions arising from both odontogenic and nonodontogenic structures. Furthermor
Externí odkaz:
https://doaj.org/article/6249569fa0614a618495cdbf818ad23a
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