Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Santisudha Panigrahi"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 7, Pp 4546-4553 (2022)
Oral cancer is one of the most prevalent malignancy affecting oral cavity. Determining the correct type of oral cancer at the early stages is important in designing a detailed treatment plan and predicting the response of the patient to the treatment
Externí odkaz:
https://doaj.org/article/3bf7377a054f40b685bf7db9133a28d0
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 2, Pp 1909-1925 (2022)
Oral cancer is a prevalent disease happening in the head and neck region. Due to the high occurrence rate and serious consequences of oral cancer, an accurate diagnosis of malignant oral tumors is a major priority. Thus, early diagnosis is very effec
Externí odkaz:
https://doaj.org/article/1bd0f967d72f48d5bb557575667d8081
Autor:
Santisudha Panigrahi, Bhabani Sankar Nanda, Ruchi Bhuyan, Kundan Kumar, Susmita Ghosh, Tripti Swarnkar
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e13444- (2023)
Oral cancer is a prevalent malignancy that affects the oral cavity in the region of head and neck. The study of oral malignant lesions is an essential step for the clinicians to provide a better treatment plan at an early stage for oral cancer. Deep
Externí odkaz:
https://doaj.org/article/7e69f080267e48f187024b9599e91b52
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:4546-4553
Oral cancer is one of the most prevalent malignancy affecting oral cavity. Determining the correct type of oral cancer at the early stages is important in designing a detailed treatment plan and predicting the response of the patient to the treatment
Autor:
Tripti Swarnkar, Santisudha Panigrahi
Publikováno v:
The Open Bioinformatics Journal. 13:106-118
Oral diseases are the 6th most revealed malignancy happening in head and neck regions found mainly in south Asian countries. It is the most common cancer with fourteen deaths in an hour on a yearly basis, as per the WHO oral cancer incidence in India
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811648069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59dc868a93ade50c34f7f96cc308c6e5
https://doi.org/10.1007/978-981-16-4807-6_31
https://doi.org/10.1007/978-981-16-4807-6_31
Autor:
Swagatika Panda, Juber Rahman, Santisudha Panigrahi, Neeta Mohanty, Tripti Swarnkar, Umashankar Mishra
Publikováno v:
Journal of oral and maxillofacial pathology : JOMFP. 26(1)
Owing to the restricted predictive value of conventional prognostic factors and the inconsistent treatment strategies, several oral squamous cell carcinoma (OSCC) patients are still over-treated or under-treated. In recent years, computer-assisted nu
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811559709
To facilitate learning in a target domain, transfer learning borrows knowledge from a source domain. What and how to transfer are two main issues that need to be addressed in transferring learning. Different transfer learning algorithms result in dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::806c0f7c0f7cc1fda431765d03cb8b29
https://doi.org/10.1007/978-981-15-5971-6_83
https://doi.org/10.1007/978-981-15-5971-6_83
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811527739
This manuscript presents a SIMULINK model of glucose metabolism (GM) process and design of a fractional order proportional integral-derivative controller (FOPIDC) to regulate the blood glucose (BG) concentration in Type-I diabetes mellitus (TIDM) pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d34c2a5252fd539a2beb3a2bf4df835d
https://doi.org/10.1007/978-981-15-2774-6_39
https://doi.org/10.1007/978-981-15-2774-6_39
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783030661861
MIKE
MIKE
Oral squamous cell carcinoma (OSCC) has complex molecular structure stimulated by certain chromatin architectural changes which are not easy to be detected by the naked eye. Prediction of OSCC can be done through various clinical and histological fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30f9f89dfa31dec1b11d46f0986c27f6
https://doi.org/10.1007/978-3-030-66187-8_17
https://doi.org/10.1007/978-3-030-66187-8_17