Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Tripti Swarnkar"'
Publikováno v:
Biomedical Technology, Vol 8, Iss , Pp 1-16 (2024)
Until now various deep convolutional neural networks are designed and trained for the purpose of classifying different medical conditions related to the domain of gastroenterology. Most of the study carried out have considered publicly available data
Externí odkaz:
https://doaj.org/article/6c0642c4d5b94e748ab1e40ff32d8824
Autor:
Shweta Kharya, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant Giri, Hong Qin, Saurav Mallik, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Diabetes is an enduring metabolic condition identified by heightened blood sugar levels stemming from insufficient production of insulin or ineffective utilization of insulin within the body. India is commonly labeled as the “diabetes capital of th
Externí odkaz:
https://doaj.org/article/47ae91197b194cbeb88fbef4bbb714f5
Autor:
Debasish Swapnesh Kumar Nayak, Saswati Mahapatra, Sweta Padma Routray, Swayamprabha Sahoo, Santanu Kumar Sahoo, Mostafa M. Fouda, Narpinder Singh, Esma R. Isenovic, Luca Saba, Jasjit S. Suri, Tripti Swarnkar
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 29, Iss 2, p 82 (2024)
Background: There are several antibiotic resistance genes (ARG) for the Escherichia coli (E. coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify these ARG. Artificial Intelligence (AI) has been used pre
Externí odkaz:
https://doaj.org/article/23b2f910090a4036b3a9ce0e16a10282
Publikováno v:
Gastroenterology Insights, Vol 13, Iss 3, Pp 264-274 (2022)
Colonoscopy is a gold standard procedure for tracking the lower gastrointestinal region. A colorectal polyp is one such condition that is detected through colonoscopy. Even though technical advancements have improved the early detection of colorectal
Externí odkaz:
https://doaj.org/article/ddd6803ea78c403496b9b6d3b208a9a1
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:
Ain Shams Engineering Journal, Vol 14, Iss 4, Pp 101942- (2023)
With an intention to assist gastroenterologists, this work proposes an intelligent method to classify alimentary canal diseases such as Barrett’s, Esophagitis, Hemorrhoids, Polyps, and Ulcerative colitis by using empirical wavelet transform (EWT) a
Externí odkaz:
https://doaj.org/article/18e0ca79127e43589a17c5dad816444f
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:
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
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 2, Pp 174-187 (2020)
The real world data are complex in nature and addition to that a large number of features add more value to the complexity. However, the features associated with the data may be redundant and erroneous in nature. To deal with such type of features, f
Externí odkaz:
https://doaj.org/article/02f746ed7fe944a6a28240b39a12f5a3
Publikováno v:
International Journal of Information Technology. 15:1117-1125