Zobrazeno 1 - 10
of 612
pro vyhledávání: '"Hyunseung Choo"'
Publikováno v:
IEEE Access, Vol 12, Pp 78024-78039 (2024)
Rain streaks impede image feature extraction, hindering the performance of computer vision algorithms such as pedestrian and lane detection in adverse weather conditions. Image deraining is crucial for enhancing reliability of such algorithms. Howeve
Externí odkaz:
https://doaj.org/article/2c502fc917d342dcbd1a70a505b3ce5a
Publikováno v:
Sensors, Vol 24, Iss 15, p 4855 (2024)
The manufacturing industry has been operating within a constantly evolving technological environment, underscoring the importance of maintaining the efficiency and reliability of manufacturing processes. Motor-related failures, especially bearing def
Externí odkaz:
https://doaj.org/article/2dcdc4d428104c0b9eddaf380f220523
Publikováno v:
IEEE Access, Vol 11, Pp 99413-99425 (2023)
Precise and robust image segmentation is one of the most important steps in supervised deep learning-applied studies. Especially in the medical field, image segmentation requires an enormous time and professionals with clinical knowledge. Although th
Externí odkaz:
https://doaj.org/article/5cac2675980344d7a06759d47fdaecf4
Publikováno v:
IEEE Access, Vol 11, Pp 51701-51711 (2023)
Conventional fundus images (CFIs) and ultra-widefield fundus images (UFIs) are two fundamental image modalities in ophthalmology. While CFIs provide a detailed view of the optic nerve head and the posterior pole of an eye, their clinical use is assoc
Externí odkaz:
https://doaj.org/article/f75d69371cb9431991e02af08c7354db
Publikováno v:
Diagnostics, Vol 14, Iss 1, p 105 (2024)
Ultra-wide-field fundus imaging (UFI) provides comprehensive visualization of crucial eye components, including the optic disk, fovea, and macula. This in-depth view facilitates doctors in accurately diagnosing diseases and recommending suitable trea
Externí odkaz:
https://doaj.org/article/da0b5901e45b4aca951f35f3d91e4e5f
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11825 (2023)
Studying domain adaptation is a recent research trend. Generally, many generative models that researchers have studied perform well on training data from a specific domain. However, their ability to be generalized to other domains might be limited. T
Externí odkaz:
https://doaj.org/article/7fbd7c9924da4402b1839d487ef37831
Publikováno v:
Bioengineering, Vol 10, Iss 11, p 1249 (2023)
In recent decades, medical imaging techniques have revolutionized the field of disease diagnosis, enabling healthcare professionals to noninvasively observe the internal structures of the human body. Among these techniques, optical coherence tomograp
Externí odkaz:
https://doaj.org/article/850c9c9c7c154c478d9d6b571f9cbffa
Publikováno v:
Bioengineering, Vol 10, Iss 9, p 1048 (2023)
Ultra-widefield fundus image (UFI) has become a crucial tool for ophthalmologists in diagnosing ocular diseases because of its ability to capture a wide field of the retina. Nevertheless, detecting and classifying multiple diseases within this imagin
Externí odkaz:
https://doaj.org/article/6420a273eeca41918051c6df38fcc806
Publikováno v:
Bioengineering, Vol 10, Iss 9, p 1089 (2023)
Self-supervised learning has been successful in computer vision, and its application to medical imaging has shown great promise. This study proposes a novel self-supervised learning method for medical image classification, specifically targeting ultr
Externí odkaz:
https://doaj.org/article/162b4d759f61420b88df21f7d20ba8e3
Publikováno v:
Sensors, Vol 22, Iss 3, p 1200 (2022)
The applications of Unmanned Aerial Vehicles (UAVs) are rapidly growing in domains such as surveillance, logistics, and entertainment and require continuous connectivity with cellular networks to ensure their seamless operations. However, handover po
Externí odkaz:
https://doaj.org/article/7f733db47bac4460b0494cf29fffd7ef