Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Vinay Jaiswar"'
Autor:
Ashish Kumar Jha, Sneha Mithun, Umeshkumar B. Sherkhane, Vinay Jaiswar, Sneha Shah, Nilendu Purandare, Kumar Prabhash, Amita Maheshwari, Sudeep Gupta, Leonard Wee, V. Rangarajan, Andre Dekker
Publikováno v:
Frontiers in Nuclear Medicine, Vol 3 (2023)
BackgroundThe role of artificial intelligence and radiomics in prediction model development in cancer has been increasing every passing day. Cervical cancer is the 4th most common cancer in women worldwide, contributing to 6.5% of all cancer types. T
Externí odkaz:
https://doaj.org/article/881b72cafeb348dd9a43513603499d38
Autor:
S. Mithun, Ashish Kumar Jha, Umesh B. Sherkhane, Vinay Jaiswar, Nilendu C. Purandare, V. Rangarajan, A. Dekker, Sander Puts, Inigo Bermejo, L. Wee
Publikováno v:
Informatics in Medicine Unlocked, Vol 40, Iss , Pp 101294- (2023)
Purpose: Manual cohort building from radiology reports can be tedious. Natural Language Processing (NLP) can be used for automated cohort building. In this study, we have developed and validated an NLP approach based on deep learning (DL) to select l
Externí odkaz:
https://doaj.org/article/14c335d95e9d48ce83c97a2dfbb6fc8b
Autor:
Ashish Kumar Jha, Sneha Mithun, Umeshkumar B. Sherkhane, Vinay Jaiswar, Biche Osong, Nilendu Purandare, Sadhana Kannan, Kumar Prabhash, Sudeep Gupta, Ben Vanneste, Venkatesh Rangarajan, Andre Dekker, Leonard Wee
Publikováno v:
Artificial Intelligence in Medicine. 139
BACKGROUND: Cervical cancer is one of the most common cancers in women with an incidence of around 6.5 % of all the cancer in women worldwide. Early detection and adequate treatment according to staging improve the patient's life expectancy. Outcome
Autor:
Nilendu Purandare, Vinay Jaiswar, Umesh B. Sherkhane, Sneha Mithun, M.S Dinesh, Chaitanya Kulkarni, Zhenwei Shi, R. Rajamenakshi, Leonard Wee, Venkatesh Rangarajan, Johan van Soest, Gaur Sunder, Andre Dekker, Petros Kalendralis, Ashish Kumar Jha
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences, 6(2), 207-213. IEEE
Cancer is a fatal disease and one of the leading causes of death worldwide. The cure rate in cancer treatment remains low; hence, cancer treatment is gradually shifting toward personalized treatment. Artificial intelligence (AI) and radiomics have be
Autor:
Sneha Mithun, Ashish Kumar Jha, Umesh B. Sherkhane, Vinay Jaiswar, Nilendu C. Purandare, Andre Dekker, Sander Puts, Inigo Bermejo, V. Rangarajan, Catharina M. L. Zegers, Leonard Wee
Publikováno v:
Journal of Digital Imaging. Springer
Rising incidence and mortality of cancer have led to an incremental amount of research in the field. To learn from preexisting data, it has become important to capture maximum information related to disease type, stage, treatment, and outcomes. Medic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::154701671518cf08b37410d5dc1d904f
https://cris.maastrichtuniversity.nl/en/publications/794d69d9-85bb-45dd-84c7-d14fa46590ed
https://cris.maastrichtuniversity.nl/en/publications/794d69d9-85bb-45dd-84c7-d14fa46590ed
Autor:
Umesh B. Sherkhane, Ashish Kumar Jha, Sneha Mithun, Vinay Jaiswar, Alberto Traverso, Leonard Wee, Venkatesh Rangarajan, Andre Dekker
Publikováno v:
F1000Research. 12:259
Radiomics is the method of extracting high throughput mathematical and statistical features from medical images. These features have the potential to characterize the underlying pathology of the disease that is inappreciable to a trained human eye. T
Autor:
Mrs Sneha Mithun, Mr. Ashish Kumar Jha, Mr. Umesh B Sherkhane, Mr. Vinay Jaiswar, Nilendu C Purandare, Venkatesh Rangarajan, Leonard Wee, Andre Dekker
Publikováno v:
Physica Medica. 104:S52