Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Shaoyi, Du"'
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray imaging. This study proposes X-ODFC
Externí odkaz:
https://doaj.org/article/7cc46fc247bd4114a586c6da2493660e
Autor:
Jianmin Xu, Fenglin Liu, Qinghui Wang, Ruirui Zou, Ying Wang, Junling Zheng, Shaoyi Du, Wei Zeng
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-25 (2024)
Abstract Objectives This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing two key challenges: (1) extracting local spatial feature information from implicit joint co
Externí odkaz:
https://doaj.org/article/51ebd5de37ae4efa96f7094cf26e3be2
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 4755-4773 (2024)
Abstract Myocardial infarction (MI) poses a significant clinical challenge, necessitating expeditious and precise detection to mitigate potentially fatal outcomes. Current MI diagnosis predominantly relies on electrocardiography (ECG); however, it is
Externí odkaz:
https://doaj.org/article/fdfa0b7cf10746c3a7216630eb6ea8bf
Autor:
Qinghui Wang, Fenglin Liu, Ruirui Zou, Ying Wang, Chenyang Zheng, Zhiqiang Tian, Shaoyi Du, Wei Zeng
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-24 (2023)
Abstract Object detection holds a crucial role in medical diagnostics. Tasks like organ segmentation and malignancy diagnosis typically necessitate preliminary localization of corresponding anatomical structures. Precise positioning ensures that only
Externí odkaz:
https://doaj.org/article/f12e5523d17741bf816b465cbc64dd6a
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/abf816cfdd91470fbbebdf5b0e845377
Publikováno v:
Biomimetic Intelligence and Robotics, Vol 3, Iss 2, Pp 100103- (2023)
Cervical spondylotic myelopathy (CSM) is the main cause of adult spinal cord dysfunction, mostly appearing in middle-aged and elderly patients. Currently, the diagnosis of this condition depends mainly on the available imaging tools such as X-ray, co
Externí odkaz:
https://doaj.org/article/f728533ea51f438a8802e718055ad878
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionThe human brain processes shape and texture information separately through different neurons in the visual system. In intelligent computer-aided imaging diagnosis, pre-trained feature extractors are commonly used in various medical image
Externí odkaz:
https://doaj.org/article/62ceac7b1ee0426fa6795a2ccaa94a84
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionIn the clinical setting, it becomes increasingly important to detect epileptic seizures automatically since it could significantly reduce the burden for the care of patients suffering from intractable epilepsy. Electroencephalography (EEG
Externí odkaz:
https://doaj.org/article/e46b7e29413e44a288c2cb2eb30b647c
Autor:
Jinbin Luo, Qinghui Wang, Ruirui Zou, Ying Wang, Fenglin Liu, Haojie Zheng, Shaoyi Du, Chengzhi Yuan
Publikováno v:
Sensors, Vol 23, Iss 23, p 9366 (2023)
In the realm of modern medicine, medical imaging stands as an irreplaceable pillar for accurate diagnostics. The significance of precise segmentation in medical images cannot be overstated, especially considering the variability introduced by differe
Externí odkaz:
https://doaj.org/article/46e256aadb1b4c148cc54666818d4247
Autor:
Ying Wang, Qinghui Wang, Ruirui Zou, Falin Wen, Fenglin Liu, Yihang Zhang, Shaoyi Du, Wei Zeng
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12174 (2023)
In the era of artificial intelligence, the significance of images and videos as intuitive conveyors of information cannot be overstated. Computer vision techniques rooted in deep learning have revolutionized our ability to autonomously and accurately
Externí odkaz:
https://doaj.org/article/531e7efd2a9e485aa0463fe652240de4