Zobrazeno 1 - 10
of 260
pro vyhledávání: '"Chest X-ray image"'
Autor:
G. Sripriyanka, Anand Mahendran
Publikováno v:
IEEE Access, Vol 12, Pp 17328-17348 (2024)
The coronavirus disease 2019 (COVID-19) epidemic had a momentous influence on the state of universal health and how people live their lives in every nation. The combination of the Internet of Things (IoT) with medical systems is referred to as the
Externí odkaz:
https://doaj.org/article/df191c071fb141adbca37c8ca23ccafb
Autor:
Abror Shavkatovich Buriboev, Dilnoz Muhamediyeva, Holida Primova, Djamshid Sultanov, Komil Tashev, Heung Seok Jeon
Publikováno v:
Sensors, Vol 24, Iss 20, p 6750 (2024)
Pneumonia is a form of acute respiratory infection affecting the lungs. Symptoms of viral and bacterial pneumonia are similar. Rapid diagnosis of the disease is difficult, since polymerase chain reaction-based methods, which have the greatest reliabi
Externí odkaz:
https://doaj.org/article/e454f54cb0a44428a8c6a4e19da2e5e9
Publikováno v:
IEEE Access, Vol 11, Pp 40988-41002 (2023)
Automated identification of thoracic diseases from chest X-ray images (CXR) is a significant area in computer-aided diagnosis. However, most existing methods have limited ability to extract multi-scale features and accurately capture the spatial loca
Externí odkaz:
https://doaj.org/article/82b039ef6e3c4dca9134b9a85554d1ef
Autor:
Minwoo Park, Youjin Lee, Sangil Kim, Young-Jin Kim, Shin Young Kim, Yeongsic Kim, Hyun-Min Kim
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Nontuberculous mycobacterial lung disease (NTM-LD) and Mycobacterium tuberculosis lung disease (MTB-LD) have similar clinical characteristics. Therefore, NTM-LD is sometimes incorrectly diagnosed with MTB-LD and treated incorrectl
Externí odkaz:
https://doaj.org/article/0aa70cee0b404a70b992143e17172386
Publikováno v:
Sensors, Vol 24, Iss 5, p 1478 (2024)
Medical professionals in thoracic medicine routinely analyze chest X-ray images, often comparing pairs of images taken at different times to detect lesions or anomalies in patients. This research aims to design a computer-aided diagnosis system that
Externí odkaz:
https://doaj.org/article/5c571c8feb9c4e3c987f1c6f101660f6
Akademický článek
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Akademický článek
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Autor:
Boyang Wang, Wenyu Zhang
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 6841-6859 (2022)
Cardiothoracic diseases are a serious threat to human health and chest X-ray image is a great reference in diagnosis and treatment. At present, it has been a research hot-spot how to recognize chest X-ray image automatically and exactly by the comput
Externí odkaz:
https://doaj.org/article/d99f56e05ac74a458fc9fe90f4d7f944
Autor:
Durjoy Majumder
Publikováno v:
Journal of Medical Physics, Vol 47, Iss 3, Pp 279-286 (2022)
Purpose: Many artificial intelligence-based computational procedures are developed to diagnose COVID-19 infection from chest X-ray (CXR) images, as diagnosis by CXR imaging is less time consuming and economically cheap compared to other detection pro
Externí odkaz:
https://doaj.org/article/98160111a30048faa4b2880208a925b0
Autor:
Boyang Wang, Wenyu Zhang
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 331-350 (2022)
Chest X-ray image is an important clinical diagnostic reference to lung diseases that is a serious threat to human health. At present, with the rapid development of computer vision and deep learning technology, many scholars have carried out the frui
Externí odkaz:
https://doaj.org/article/d350cd1d61da459abfe4d488fa9140a5