Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shamsul Masum"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110706- (2024)
Forest ecosystems face increasing wildfire threats, demanding prompt and precise detection methods to ensure efficient fire control. However, real-time forest fire data accessibility and timeliness require improvement. Our study addresses the challen
Externí odkaz:
https://doaj.org/article/4630ce259b104035a0aa2154853f67d0
Autor:
Rauand Duhoky, MsC, Marieke L. W. Rutgers, MsC, Thijs A. Burghgraef, MsC, Samuel Stefan, MD, Shamsul Masum, PhD, Guglielmo N. Piozzi, MD, Filippos Sagias, MD, Jim S. Khan, MD, PhD
Publikováno v:
Annals of Surgery Open, Vol 5, Iss 2, p e404 (2024)
Objective:. To compare long-term outcomes between laparoscopic and robotic total mesorectal excisions (TMEs) for rectal cancer in a tertiary center. Background:. Laparoscopic rectal cancer surgery has comparable long-term outcomes to the open approac
Externí odkaz:
https://doaj.org/article/6b04eca09e3b4d8593525fb0742885ae
Publikováno v:
Discover Oncology, Vol 13, Iss 1, Pp 1-17 (2022)
Abstract Data analytics and artificial intelligence (AI) have been used to predict patient outcomes after colorectal cancer surgery. A prospectively maintained colorectal cancer database was used, covering 4336 patients who underwent colorectal cance
Externí odkaz:
https://doaj.org/article/3e6a184cdb5a4467a434e2afd068c263
Autor:
Elias Hossain, Wahidur Rahman, Alif B Ekram, Redwan Abedin, Nasim Ahmed Roni, Erfanul Haque, S M Asaduzzaman, Md. Shazzad Hossain, Shah Siddiqui, Shamsul Masum
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT).
Publikováno v:
European Journal of Surgical Oncology. 49:e118
Autor:
Shah Siddiqui, Elias Hossain, S. M. Asaduzzaman, Sabila Al Jannat, Ta-seen Niloy, Wahidur Rahman, Shamsul Masum, Adrian Hopgood, Alice Good, Alexander Gegov
Publikováno v:
Inventive Systems and Control ISBN: 9789811910111
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff859698714aa34ba555d6a5ba2a7f5
https://doi.org/10.1007/978-981-19-1012-8_55
https://doi.org/10.1007/978-981-19-1012-8_55
Autor:
Shah Siddiqui, Elias Hossain, Rezowan Ferdous, Murshedul Arifeen, Wahidur Rahman, Shamsul Masum, Adrian Hopgood, Alice Good, Alexander Gegov
Publikováno v:
Advances in Sustainability Science and Technology ISBN: 9789811691003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f8d317dac9eaef564c294bfd1ef137b
https://doi.org/10.1007/978-981-16-9101-0_12
https://doi.org/10.1007/978-981-16-9101-0_12
Publikováno v:
Journal of Cancer Science and Clinical Therapeutics.
Publikováno v:
Discover. Oncology. 13(1)
Data analytics and artificial intelligence (AI) have been used to predict patient outcomes after colorectal cancer surgery. A prospectively maintained colorectal cancer database was used, covering 4336 patients who underwent colorectal cancer surgery
Autor:
Shah Siddiqui, Murshedul Arifeen, Adrian Hopgood, Alice Good, Alexander Gegov, Elias Hossain, Wahidur Rahman, Shazzad Hossain, Sabila Al Jannat, Rezowan Ferdous, Shamsul Masum
Publikováno v:
SN computer science. 3(5)
COVID-19, caused by SARS-CoV-2, has been declared as a global pandemic by WHO. Early diagnosis of COVID-19 patients may reduce the impact of coronavirus using modern computational methods like deep learning. Various deep learning models based on CT a