Zobrazeno 1 - 10
of 406
pro vyhledávání: '"lung cancer detection"'
Autor:
Yogesh Kumaran S, J. Jospin Jeya, Mahesh T R, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Medical imaging stands as a critical component in diagnosing various diseases, where traditional methods often rely on manual interpretation and conventional machine learning techniques. These approaches, while effective, come with inherent
Externí odkaz:
https://doaj.org/article/c9c175d940e045979152f8be7e06c164
Autor:
Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Lung cancer is the second most common cancer worldwide, with over two million new cases per year. Early identification would allow healthcare practitioners to handle it more effectively. The advancement of computer-aided detection
Externí odkaz:
https://doaj.org/article/ae0da7dc771a40bb828de4d3c806793a
Autor:
Eid Albalawi, Eali Stephen Neal Joshua, N. M. Joys, Surbhi Bhatia Khan, Hadil Shaiba, Sultan Ahmad, Jabeen Nazeer
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionOur research addresses the critical need for accurate segmentation in medical healthcare applications, particularly in lung nodule detection using Computed Tomography (CT). Our investigation focuses on determining the particle composition
Externí odkaz:
https://doaj.org/article/271fc69f0ed54c1282a282723fdb9ddc
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 767 (2024)
When dealing with small targets in lung cancer detection, the YOLO V8 algorithm may encounter false positives and misses. To address this issue, this study proposes an enhanced YOLO V8 detection model. The model integrates a large separable kernel at
Externí odkaz:
https://doaj.org/article/b40d4e6c7dd645a4838bae6f448e7fca
Akademický článek
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Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 49, Iss 1, Pp 1-14 (2023)
One of the most important prognostic factors for all lung cancer patients is the accurate detection of metastases. Pathologists, as we all know, examine the body and its tissues. On the existing clinical method, they have a tedious and manual task. R
Externí odkaz:
https://doaj.org/article/09007c5ab50d46b28ebbeeda12c19b18
Autor:
Unai Muñoz-Aseguinolaza, Izaro Fernandez-Iriondo, Itsaso Rodríguez-Moreno, Naiara Aginako, Basilio Sierra
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21203- (2023)
Recent developments in technology and research have offered a wide variety of new techniques for image and data analysis within the medical field. Medical research helps doctors and researchers acquire not only knowledge about health and new diseases
Externí odkaz:
https://doaj.org/article/837bc066fe2a416c8f69d0883d76e9ef
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 314 (2024)
Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages. However, microarra
Externí odkaz:
https://doaj.org/article/79f7ed39208246d88336274d628db581
Autor:
Jia Uddin
Publikováno v:
Designs, Vol 8, Iss 2, p 27 (2024)
Lung cancer is identified by the uncontrolled proliferation of cells in lung tissues. The timely detection of malignant cells in the lungs, crucial for processes such as oxygen provision and carbon dioxide elimination in the human body, is imperative
Externí odkaz:
https://doaj.org/article/5928ffc41aac454c94ae98ee395ee05a
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 10, Iss 4, Pp 1098-1110 (2022)
Lung cancer is a very deadly disease. However, early diagnosis and detection is an essential factor in overcoming this deadly disease. Tumors formed in this disease's initial stage are divided into benign and malignant. These can be visualized using
Externí odkaz:
https://doaj.org/article/b8a7d8e96b7b478a8af59b6b341fbbce