Zobrazeno 1 - 10
of 3 038
pro vyhledávání: '"CAD system"'
Publikováno v:
International Journal of Production Research. Feb2008, Vol. 46 Issue 4, p1137-1161. 25p. 14 Diagrams, 7 Charts, 2 Graphs.
Autor:
Denis I. Sotskov, Alexey V. Zubakov, Nikolay A. Usachev, Nikita M. Zhidkov, Alexander G. Kuznetsov, Alexander V. Ermakov, Alexander Y. Nikiforov
Publikováno v:
Безопасность информационных технологий, Vol 30, Iss 3, Pp 104-115 (2023)
Results of designing the specialized RF elements library intended for use in the CMOS 180 nm process are presented. The RF library includes a set of RF MOSFETs for amplifiers and switches design, three types of varactors based on the MOS-structure, s
Externí odkaz:
https://doaj.org/article/0fc8d0b0797c4733bf25b50c3505f943
Publikováno v:
Frontiers in Medical Technology, Vol 6 (2024)
IntroductionA Computer-Assisted Detection (CAD) System for classification into malignant-benign classes using CT images is proposed.MethodsTwo methods that use the fractal dimension (FD) as a measure of the lung nodule contour irregularities (Box cou
Externí odkaz:
https://doaj.org/article/c83db8949cfd41c19a57b561438b1a92
Autor:
Abhishek Agnihotri, Narendra Kohli
Publikováno v:
Data Science and Management, Vol 6, Iss 2, Pp 98-109 (2023)
The novel coronavirus disease, or COVID-19, is a hazardous disease. It is endangering the lives of many people living in more than two hundred countries. It directly affects the lungs. In general, two main imaging modalities, i.e., computed tomograph
Externí odkaz:
https://doaj.org/article/e176364227b74996aae1207fcad8ae41
Publikováno v:
Diagnostics, Vol 14, Iss 12, p 1281 (2024)
Alzheimer’s disease (AD) is a neurological disorder that significantly impairs cognitive function, leading to memory loss and eventually death. AD progresses through three stages: early stage, mild cognitive impairment (MCI) (middle stage), and dem
Externí odkaz:
https://doaj.org/article/5c76ad4742884b678dd162abfbc86f75
Autor:
Sinda Hosni, Hajer Khachnaoui, Hsouna Mehdi Zgolli, Sonya Mabrouk, Desire Sidibe, Hedi Tabia, Nawres Khlifa
Publikováno v:
IEEE Access, Vol 11, Pp 135435-135448 (2023)
Deep Learning (DL) methods, such as Convolution Neural Networks (CNNs), have shown great potential in diagnosing complex diseases. Among these diseases, Rhegmatogenous Retinal Detachment (RRD) stands out as a critical condition necessitating precise
Externí odkaz:
https://doaj.org/article/5b5afdca8df241d791440aaa5edac2c1
Autor:
J L Reverter, L Ferrer-Estopiñan, F Vázquez, S Ballesta, S Batule, A Perez-Montes de Oca, C Puig-Jové, M Puig-Domingo
Publikováno v:
European Thyroid Journal, Vol 11, Iss 1, Pp 1-7 (2023)
Introduction: Computer-aided diagnostic (CAD) programs for malignancy risk stratification from ultrasound (US) imaging of thyroid nodules are being validated both experimentally and in real-world practice. However, they have not been tested for relia
Externí odkaz:
https://doaj.org/article/9c317a9f3fa442379384d4a0b9caa9b9
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The choice of treatment and prognosis evaluation depend on the accurate early diagnosis of brain tumors. Many brain tumors go undiagnosed or are overlooked by clinicians as a result of the challenges associated with manually evaluating magnetic reson
Externí odkaz:
https://doaj.org/article/157d8ffcbb654a86ba3d09e1a0037cb1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-17 (2022)
Abstract Background The health crisis resulting from the global COVID-19 pandemic highlighted more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of respiratory diseases. To study pulmonary involvement in detail,
Externí odkaz:
https://doaj.org/article/c0128576a4c147b2abead2e74a54f555