Zobrazeno 1 - 10 of 144 pro vyhledávání: '"Girija Chetty"'
1
Akademický článek
Development of intelligent suite for malaria pathogen detection in microscopy images
Autor: Anand Koirala, Meena Jha, Girija Chetty, Srinivas Bodapati, Animesh Mishra, Praveen Kishore Sahu, Sanjib Mohanty, Timir Kanta Padhan, Ajat Hukkoo, Jyoti Mattoo
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The identification of malaria infection using microscope images of blood smears is considered as a ‘gold standard’. The diagnosis of malaria needs expert microscopists which are scarce in remote areas where malaria is endemic. Therefore,
Externí odkaz: https://doaj.org/article/a9110426c177408d85f0e798ed1bf1a5
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2
Akademický článek
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images
Autor: Damjan Vukovic, Andrew Wang, Maria Antico, Marian Steffens, Igor Ruvinov, Ruud JG van Sloun, David Canty, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa
Publikováno v: BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background Point-of-care lung ultrasound (LUS) allows real-time patient scanning to help diagnose pleural effusion (PE) and plan further investigation and treatment. LUS typically requires training and experience from the clinician to accura
Externí odkaz: https://doaj.org/article/bae0a5273c3e401aa665e77d21399b55
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3
Akademický článek
Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia
Autor: Nabeel Durrani, Damjan Vukovic, Jeroen van der Burgt, Maria Antico, Ruud J. G. van Sloun, David Canty, Marian Steffens, Andrew Wang, Alistair Royse, Colin Royse, Kavi Haji, Jason Dowling, Girija Chetty, Davide Fontanarosa
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the identification of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies.
Externí odkaz: https://doaj.org/article/932b4ff27af04130a796d669bfe71aa2
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4
Akademický článek
Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating ΔHBO2 and ΔHHB Measures for Comprehensive Analysis
Autor: Muhammad Umar Khan, Maryam Sousani, Niraj Hirachan, Calvin Joseph, Maryam Ghahramani, Girija Chetty, Roland Goecke, Raul Fernandez-Rojas
Publikováno v: Sensors, Vol 24, Iss 2, p 458 (2024)
Assessing pain in non-verbal patients is challenging, often depending on clinical judgment which can be unreliable due to fluctuations in vital signs caused by underlying medical conditions. To date, there is a notable absence of objective diagnostic
Externí odkaz: https://doaj.org/article/d270d0f5e076449e8eb42766abe14439
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5
Akademický článek
Deep Learning for Real-Time Malaria Parasite Detection and Counting Using YOLO-mp
Autor: Anand Koirala, Meena Jha, Srinivas Bodapati, Animesh Mishra, Girija Chetty, Praveen Kishore Sahu, Sanjib Mohanty, Timir Kanta Padhan, Jyoti Mattoo, Ajat Hukkoo
Publikováno v: IEEE Access, Vol 10, Pp 102157-102172 (2022)
Malaria in the rural and remote regions of tropical countries remain a major public health challenge. Early diagnosis and prompt effective treatment are the basis for the management of malaria and for reducing malaria mortality and morbidity worldwid
Externí odkaz: https://doaj.org/article/a78a3727194b464db7ea1e42d60f53f1
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7
A framework for vehicle quality evaluation based on interpretable machine learning
Autor: Mohammad Alwadi, Girija Chetty, Mohammad Yamin
Publikováno v: International Journal of Information Technology. 15:129-136
Ensuring high quality of a vehicle will increase the lifetime and customer experience, in addition to the maintenance problems, and it is important that there are objective scientific methods available, for evaluating the quality of the vehicle. In t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc06b054d70cf4cd205aa8bfacfee64f
https://doi.org/10.1007/s41870-022-01121-6
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8
A low resource 3D U-Net based deep learning model for medical image analysis
Autor: Girija Chetty, Mohammad Yamin, Matthew White
Publikováno v: International Journal of Information Technology
The success of deep learning, a subfield of Artificial Intelligence technologies in the field of image analysis and computer can be leveraged for building better decision support systems for clinical radiological settings. Detecting and segmenting tu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb5c268da259f7c40c825d981bf79a0c
http://europepmc.org/articles/PMC8727483
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