Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Fangfang Gou"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Diagnosing diseases heavily relies on cell pathology images, but the extensive data in each manual identification of relevant cells labor-intensive, especially in regions with a scarcity of qualified healthcare professionals. This study aims
Externí odkaz:
https://doaj.org/article/871f06570e214565a8f7da36263bee92
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The analysis and interpretation of cytopathological images are crucial in modern medical diagnostics. However, manually locating and identifying relevant cells from the vast amount of image data can be a daunting task. This challenge is part
Externí odkaz:
https://doaj.org/article/9e71ade652cd4c7ca9dcac1cb4dcd481
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6031-6050 (2024)
Abstract Magnetic resonance imaging (MRI) examinations are a routine part of the cancer treatment process. In developing countries, disease diagnosis is often time-consuming and associated with serious prognostic problems. Moreover, MRI is characteri
Externí odkaz:
https://doaj.org/article/1f5995d04792465183b186b68daa4b0d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5831-5849 (2024)
Abstract Malignant tumors are a common cytopathologic disease. Pathological tissue examination is a key tool for diagnosing malignant tumors. Doctors need to manually analyze the images of pathological tissue sections, which is not only time-consumin
Externí odkaz:
https://doaj.org/article/df148ff089f944a49a948f0a226631ff
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4253-4274 (2024)
Abstract Artificial intelligence has made substantial progress in many medical application scenarios. The quantity and complexity of pathology images are enormous, but conventional visual screening techniques are labor-intensive, time-consuming, and
Externí odkaz:
https://doaj.org/article/16635e2270ba4a618f9aa172736bb5fb
Publikováno v:
IET Image Processing, Vol 18, Iss 1, Pp 175-193 (2024)
Abstract Artificial intelligence decision systems play an important supporting role in the field of medical information. Medical image analysis is an important part of decision systems and an even more important part of medical diagnosis and treatmen
Externí odkaz:
https://doaj.org/article/47aaff66aa704aa9b05546446d105358
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1472 (2024)
With the improvement of economic conditions and the increase in living standards, people’s attention in regard to health is also continuously increasing. They are beginning to place their hopes on machines, expecting artificial intelligence (AI) to
Externí odkaz:
https://doaj.org/article/7b5d7b3ed03842a5baca7477958d2c46
Publikováno v:
IET Image Processing, Vol 17, Iss 10, Pp 3040-3054 (2023)
Abstract Due to the improvement in computing power and the development of computer technology, deep learning has pene‐trated into various fields of the medical industry. Segmenting lesion areas in medical scans can help clinicians make accurate dia
Externí odkaz:
https://doaj.org/article/87ad8283a2ee44ad9d580d7904486da9
Publikováno v:
IET Communications, Vol 17, Iss 12, Pp 1354-1367 (2023)
Abstract The network transmission speed has been greatly improved, thanks to the power of 5G technology. The millisecond‐level communication delay has made a qualitative leap in communication quality. However, the sharp increase in the number of no
Externí odkaz:
https://doaj.org/article/fb3e80a1471747959df596c2206503da
Publikováno v:
Biomedicines, Vol 11, Iss 10, p 2740 (2023)
Identifying and managing osteosarcoma pose significant challenges, especially in resource-constrained developing nations. Advanced diagnostic methods involve isolating the nucleus from cancer cells for comprehensive analysis. However, two main challe
Externí odkaz:
https://doaj.org/article/ee1b16e60db54c4ba30565de806d42f5