Zobrazeno 1 - 10
of 6 116
pro vyhledávání: '"Automatic Segmentation"'
Fully Automatic Deep Learning Model for Spine Refracture in Patients with OVCF: A Multi‐Center Study
Autor:
Xuetao Zhu, Dejian Liu, Lian Liu, Jingxuan Guo, Zedi Li, Yixiang Zhao, Tianhao Wu, Kaiwen Liu, Xinyu Liu, Xin Pan, Lei Qi, Yuanqiang Zhang, Lei Cheng, Bin Chen
Publikováno v:
Orthopaedic Surgery, Vol 16, Iss 8, Pp 2052-2065 (2024)
Background The reaserch of artificial intelligence (AI) model for predicting spinal refracture is limited to bone mineral density, X‐ray and some conventional laboratory indicators, which has its own limitations. Besides, it lacks specific indicato
Externí odkaz:
https://doaj.org/article/8aebef88d5ba457983b1777a185b1169
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract Schizophrenic patients’ brain tumor magnetic resonance imaging (MRI) images are important references for doctors to diagnose and treat schizophrenia. However, automatic segmentation of these images is a professional and tedious task. Exist
Externí odkaz:
https://doaj.org/article/97836a1b97844ee7854d9fb6b130dff7
Autor:
Yao-Wen Liang, Yu-Ting Fang, Ting-Chun Lin, Cheng-Ru Yang, Chih-Chang Chang, Hsuan-Kan Chang, Chin-Chu Ko, Tsung-Hsi Tu, Li-Yu Fay, Jau-Ching Wu, Wen-Cheng Huang, Hsiang-Wei Hu, You-Yin Chen, Chao-Hung Kuo
Publikováno v:
Neurospine, Vol 21, Iss 2, Pp 665-675 (2024)
Objective This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are li
Externí odkaz:
https://doaj.org/article/d70fb37db0e349578dcd9ae6446eb72c
Autor:
Julian Leube, Matthias Horn, Philipp E. Hartrampf, Andreas K. Buck, Michael Lassmann, Johannes Tran-Gia
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 231-241 (2024)
For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume of relevant structures exposed to therapeutic radiation. For many radiopharmaceuticals, the kidneys represent an important organ-at-risk. To reduce the time requi
Externí odkaz:
https://doaj.org/article/ef07118153d449c58da18898bd5eba11
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background Currently, automatic esophagus segmentation remains a challenging task due to its small size, low contrast, and large shape variation. We aimed to improve the performance of esophagus segmentation in deep learning by applying a st
Externí odkaz:
https://doaj.org/article/27151b2746b048efb7b045cbc1d2b33a
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Traumatic injuries to the thorax are a common occurrence, and given the disparity in outcomes, injury risk is non-uniformly distributed within the population. Rib cage geometry, in conjunction with well-established biomechanical characteristics, is t
Externí odkaz:
https://doaj.org/article/d39dac08ed9c41d8ba728fa452d6c119
Autor:
Wei Wei, Jingya Xu, Fei Xia, Jun Liu, Zekai Zhang, Jing Wu, Tianjun Wei, Huijun Feng, Qiang Ma, Feng Jiang, Xiangming Zhu, Xia Zhang
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectivesTo construct deep learning-assisted diagnosis models based on automatic segmentation of ultrasound images to facilitate radiologists in differentiating benign and malignant parotid tumors.MethodsA total of 582 patients histopathologically d
Externí odkaz:
https://doaj.org/article/0365d95b9c454e6a822d75b47b7b4ac0
Publikováno v:
IEEE Access, Vol 12, Pp 112381-112396 (2024)
In clinical routine, the assessment of myocardial viability is based on visual analysis of late gadolinium enhancement (LGE) sequences. This procedure remains subjective and insufficient, particularly in cases of improbable viability, where scar tran
Externí odkaz:
https://doaj.org/article/4dddff09bbaa4f3fbde16e870f27b273
Publikováno v:
IEEE Access, Vol 12, Pp 110955-110976 (2024)
The spinal cord is an important part of the central nervous system, responsible for transmitting nerve signals throughout the body. The cervical spinal cord contains eight nerve bundles located in the neck region of the spinal cord that transmit to t
Externí odkaz:
https://doaj.org/article/9eae87211a3a41d797b52a8a7d04ba69
Autor:
Lingyun Qiu, Rong Wu, Xinpeng Lin, Lifeng Qiu, Kainan Shao, Wenming Zhan, Qiang Li, Jieni Ding, Yucheng Li, Weijun Chen
Publikováno v:
IEEE Access, Vol 12, Pp 87615-87624 (2024)
This study utilized the U-Net deep learning model to automate the segmentation of three-dimensional after-loaded metal source applicators, aiming to expedite treatment planning, reduce patient wait times, and enhance the treatment process. Using CT i
Externí odkaz:
https://doaj.org/article/70bc6f0068034ddcbe3cd38372a24476