Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Patient diagnostic methods and instrumentation"'
Publikováno v:
IET Science, Measurement & Technology, Vol 16, Iss 4, Pp 242-249 (2022)
Abstract Radiography is a widely used method for grading and tracking the anatomical changes in knee osteoarthritis (OA) patients. The ease of thermography in mapping functional information via the skin temperature (Tsk) helps in the diagnosis of var
Externí odkaz:
https://doaj.org/article/b193ef437a434805ae4bdd1d3ecd3495
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 229-238 (2022)
Abstract Liver cancer poses a great threat to people's health. Accurate liver segmentation is crucial to the diagnosis of liver cancer. In recent years, great achievements have been made in liver segmentation using a series of improved networks devel
Externí odkaz:
https://doaj.org/article/5f2b451c96264790aaf72f44db71d2b2
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 29-38 (2022)
Abstract Medical image generation from diagnostic report has important research significance for medical‐aided diagnosis. This research can improve the diagnosis speed and accuracy of doctors and effectively save the storage resources of hospitals.
Externí odkaz:
https://doaj.org/article/8c1fd652d8504be29b5903e5c523df4f
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3118-3129 (2021)
Abstract Chest X‐ray images taken under different conditions follow different distributions, preventing the models trained on a domain from generalising well on the other domain. In this paper, a generative domain adaptation (GDA) method is propose
Externí odkaz:
https://doaj.org/article/922a5e5584f14bee92aa760affe4c3d4
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3267-3280 (2021)
Abstract Abstract Sweat pore, one of the level 3 features of fingerprint, has attracted much attention in fingerprint recognition. Traditional sweat pores on surface fingerprint are unclear or blurred when fingers are stained or damaged. Subcutaneous
Externí odkaz:
https://doaj.org/article/8df2cb97583e4064897c1de9813b65d2
Autor:
Alexey Youssef, Samaneh Kouchaki, Farah Shamout, Jacob Armstrong, Rasheed El‐Bouri, Thomas Taylor, Drew Birrenkott, Baptiste Vasey, Andrew Soltan, Tingting Zhu, David A. Clifton, David W. Eyre
Publikováno v:
Healthcare Technology Letters, Vol 8, Iss 5, Pp 105-117 (2021)
Abstract COVID‐19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of November 2020. Predicting which patients will need respiratory s
Externí odkaz:
https://doaj.org/article/4fd0255e88764748825ad02e74cf25ca
Publikováno v:
IET Image Processing, Vol 15, Iss 12, Pp 2959-2969 (2021)
Abstract Tracking the instruments in a surgical scene is an essential task in minimally invasive surgery. However, due to the unpredictability of scenes, automatically segmenting the instruments is very challenging. In this paper, a novel method name
Externí odkaz:
https://doaj.org/article/eb5e7a84ab2545eab59c6c7ea24211ca
Publikováno v:
IET Science, Measurement & Technology, Vol 15, Iss 7, Pp 562-568 (2021)
Abstract In spite of widespread research and exploration, the status of non‐invasive blood glucometer for diabetic people is far from satisfactory. This unlocks the prospect for further significant research in the field of non‐invasive blood gluc
Externí odkaz:
https://doaj.org/article/6ebe771acf304bdbaaccdd51e8eaba51
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2559-2571 (2021)
Abstract Retinal image analysis has become an intuitive and standard aided diagnostic technique for eye diseases. The good image quality is essential support for doctors to provide timely and accurate disease diagnosis. This paper proposes an end‐t
Externí odkaz:
https://doaj.org/article/bd4e74151a244efbbc5b219133148aab
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2666-2679 (2021)
Abstract Many biomedical applications require accurate non‐rigid image registration that can cope with complex deformations. However, popular diffeomorphic Demons registration algorithms suffer from difficulties for complex and serious distortions
Externí odkaz:
https://doaj.org/article/3fcf551a33f54c35a381ed593457a300