Zobrazeno 1 - 10
of 107
pro vyhledávání: '"CXR images"'
Autor:
Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan
Publikováno v:
IEEE Access, Vol 12, Pp 75412-75425 (2024)
The worldwide spread of the coronavirus illness has led to the requirement of creating machine-based technologies to identify the diseases. The worldwide pandemic caused by new coronaviruses has resulted in a significant loss of life and necessitates
Externí odkaz:
https://doaj.org/article/1704d74ff36d4397a4264f994a521d67
Autor:
Akram Bennour, Najib Ben Aoun, Osamah Ibrahim Khalaf, Fahad Ghabban, Wing-Keung Wong, Sameer Algburi
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30308- (2024)
Pulmonary disease identification and characterization are among the most intriguing research topics of recent years since they require an accurate and prompt diagnosis. Although pulmonary radiography has helped in lung disease diagnosis, the interpre
Externí odkaz:
https://doaj.org/article/f2a2614d356a489eb42ae87fe9e210c4
Autor:
Mahendra Kumar Gourisaria, Vinayak Singh, Rajdeep Chatterjee, Sanjaya Kumar Panda, Manas Ranjan Pradhan, Biswaranjan Acharya
Publikováno v:
IEEE Access, Vol 11, Pp 65028-65042 (2023)
Pneumothorax is a critical medical condition among human-beings. A severe pneumothorax causes collapsed lungs. It is a life-threatening disease. Therefore, pneumothorax detection is an important step for the prevention and curing of a patient. Pneumo
Externí odkaz:
https://doaj.org/article/6ed0936abf3940a7a9adf296f390aaf3
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 9, Pp 2108-2120 (2022)
In the detection of COVID-19, chest X-ray (CXR) images and CT scan images are two main technical methods, which provide an important basis for doctors' diagnosis. Currently, convolutional neural network (CNN) in detecting the COVID-19 medical radioac
Externí odkaz:
https://doaj.org/article/6533c69a90b24a46b2666dfa9096b830
Autor:
S. Kalaivani, K. Seetharaman
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 3, Iss , Pp 35-45 (2022)
For the identification and classification of COVID-19, this research presents a three-stage ensemble boosted convolutional neural network model. A conventional segmentation model (ResUNet) is used to increase the model's performance in the initial st
Externí odkaz:
https://doaj.org/article/57e3d8edb6734b41b21d1b94ddeb1ff8
Autor:
Chamoda Tharindu Kumara, Sandunika Charuni Pushpakumari, Ashmini Jeewa Udhyani, Mohamed Aashiq, Hirshan Rajendran, Chinthaka Wasantha Kumara
Publikováno v:
Engineering Proceedings, Vol 55, Iss 1, p 45 (2023)
Coronavirus (COVID-19) is a fast-spreading virus-related disease. On 28 March 2022, Worldometer (COVID-19 live update) reported that there were about 482,338,923 COVID-19 cases and 6,149,387 fatalities worldwide. Moreover, there were about 416,884,71
Externí odkaz:
https://doaj.org/article/0c40866e86c24641bf07b422107d0793
Autor:
Juanying XIE, Qin XIA
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 1, Pp 52-62 (2022)
The Chest X-ray (CXR) images of COVID-19 patients are different from those of normal people, which has been an effective base for making correct diagnosis. It is an important way to help medicine doctors to make the fast and accurate diagnosis for pa
Externí odkaz:
https://doaj.org/article/d4cff7984aae46f6b0c187e6b0a7e397
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.