Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Shirley T. Leivon"'
1
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
Zobrazit plný text záznamu
2
Metastatic nasopharyngeal carcinoma presenting with palpable neck nodes-A look at clinical presentation and literature review on screening
Autor: Nito Yepthomi, Nounechutuo Miachieo, Shirley T Leivon, Khrutsozo Kikhi, Clement Momin
Publikováno v: IP Archives of Cytology and Histopathology Research. 8:3-9
Nasopharyngeal carcinoma in Nagaland has the highest age adjusted rates for both men (14.4 /100,000) and women (6.5 /100,000) in India. Most of the patients presents with usual vague symptoms related to mass in nasal cavity and higher clinical stage
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f56de1126ee19ba685dfab186e281bc6
https://doi.org/10.18231/j.achr.2023.002
Zobrazit plný text záznamu
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
Zobrazit plný text záznamu
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
Zobrazit plný text záznamu
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
Zobrazit plný text záznamu
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
Zobrazit plný text záznamu
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
Zobrazit plný text záznamu
10
Bayesian deep learning for reliable oral cancer image classification
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::767ea39f980d5ffedf19a624f277903c
https://pubmed.ncbi.nlm.nih.gov/34745746
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje