Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Pramila Mendonca"'
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Akademický článek
Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders
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
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3
Systematic Review and Meta-Analysis to Identify the Immunocytochemical Markers Effective in Delineating Benign from Malignant Thyroid Lesions in FNAC Samples
Autor: Uma, Mohan, Sumsum P, Sunny, Pramila, Mendonca, Moni A, Kuriakose, Subramanian, Kannan, Amritha, Suresh
Publikováno v: Endocrine Pathology. 33:243-256
Conventional cytology-based diagnosis for thyroid cancer is limited with more than 30-45% of nodules categorized as indeterminate, necessitating surgery for confirming or refuting the diagnosis. This systematic review and meta-analysis were aimed at
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9936334dfa4904d22ae7190756cfeca6
https://doi.org/10.1007/s12022-022-09721-5
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4
Interpretable and Reliable Oral Cancer Classifier with Attention Mechanism and Expert Knowledge Embedding via Attention Map
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
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
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5
Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images
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
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6
Interpretable deep learning approach for oral cancer classification using guided attention inference network
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
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
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7
Classification of imbalanced oral cancer image data from high-risk population
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
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
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9
Mobile-based oral cancer classification for point-of-care screening
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
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
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