Zobrazeno 1 - 10
of 117 122
pro vyhledávání: '"x-ray images"'
Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to delays and
Externí odkaz:
http://arxiv.org/abs/2410.15437
Intra-operative 2D-3D registration of X-ray images with pre-operatively acquired CT scans is a crucial procedure in orthopedic surgeries. Anatomical landmarks pre-annotated in the CT volume can be detected in X-ray images to establish 2D-3D correspon
Externí odkaz:
http://arxiv.org/abs/2410.08152
Osteoporosis is a widespread and chronic metabolic bone disease that often remains undiagnosed and untreated due to limited access to bone mineral density (BMD) tests like Dual-energy X-ray absorptiometry (DXA). In response to this challenge, current
Externí odkaz:
http://arxiv.org/abs/2412.05345
Autor:
Tao, Renshuai, Wang, Haoyu, Guo, Yuzhe, Chen, Hairong, Zhang, Li, Liu, Xianglong, Wei, Yunchao, Zhao, Yao
To detect prohibited items in challenging categories, human inspectors typically rely on images from two distinct views (vertical and side). Can AI detect prohibited items from dual-view X-ray images in the same way humans do? Existing X-ray datasets
Externí odkaz:
http://arxiv.org/abs/2411.18082
Publikováno v:
in 2024 27th Iberoamerican Congress on Pattern Recognition (CIARP), 2024, pp. 1-14
Segment Anything Model (SAM), a new AI model from Meta AI released in April 2023, is an ambitious tool designed to identify and separate individual objects within a given image through semantic interpretation. The advanced capabilities of SAM are the
Externí odkaz:
http://arxiv.org/abs/2411.03064
Children often suffer wrist trauma in daily life, while they usually need radiologists to analyze and interpret X-ray images before surgical treatment by surgeons. The development of deep learning has enabled neural networks to serve as computer-assi
Externí odkaz:
http://arxiv.org/abs/2410.01031
Medical artificial intelligence (AI) is revolutionizing the interpretation of chest X-ray (CXR) images by providing robust tools for disease diagnosis. However, the effectiveness of these AI models is often limited by their reliance on large amounts
Externí odkaz:
http://arxiv.org/abs/2410.08861
X-ray images ease the diagnosis and treatment process due to their rapid imaging speed and high resolution. However, due to the projection process of X-ray imaging, much spatial information has been lost. To accurately provide efficient spinal morpho
Externí odkaz:
http://arxiv.org/abs/2407.20937
Autor:
Almutaani, Mansour1 (AUTHOR), Turki, Turki1 (AUTHOR) tturki@kau.edu.sa, Taguchi, Y.-H.2 (AUTHOR)
Publikováno v:
Scientific Reports. 11/3/2024, Vol. 14 Issue 1, p1-17. 17p.
The infectious disease caused by novel corona virus (2019-nCoV) has been widely spreading since last year and has shaken the entire world. It has caused an unprecedented effect on daily life, global economy and public health. Hence this disease detec
Externí odkaz:
http://arxiv.org/abs/2408.14927