Zobrazeno 1 - 10
of 2 496
pro vyhledávání: '"x-ray images"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Teeth segmentation is a crucial and fundamental player for doctors in diagnosis and treatment planning in dentistry. Due to the blurred interdental boundaries, variations in noise, and the complexities arising from the orientation and overla
Externí odkaz:
https://doaj.org/article/e4e89de59b054fa3a68faa50f21e9a59
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract In light of the ongoing battle against COVID-19, while the pandemic may eventually subside, sporadic cases may still emerge, underscoring the need for accurate detection from radiological images. However, the limited explainability of curren
Externí odkaz:
https://doaj.org/article/368dda890e1748b1a144dc7ed953ab09
A new superfluity deep learning model for detecting knee osteoporosis and osteopenia in X-ray images
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study proposes a new deep-learning approach incorporating a superfluity mechanism to categorize knee X-ray images into osteoporosis, osteopenia, and normal classes. The superfluity mechanism suggests the use of two distinct types of blo
Externí odkaz:
https://doaj.org/article/6ea94d32c3694d5e977e78195b0e12ca
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The morphological characteristics of the foot arch and the plantar soft tissue thickness are pivotal in assessing foot health, which is associated with various foot and ankle pathologies. By applying deep learning image segmentation techniqu
Externí odkaz:
https://doaj.org/article/6b31dbe0cbf14d4f8b640b1e4c545360
Publikováno v:
Journal of Pathology Informatics, Vol 15, Iss , Pp 100382- (2024)
Knee osteoarthritis (OA) is a prevalent condition causing significant disability, particularly among the elderly, necessitating advancements in diagnostic methodologies to facilitate early detection and treatment. Traditional OA diagnosis, relying on
Externí odkaz:
https://doaj.org/article/4c9be485515f4f5087b6388c5cd6ad23
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 133-143 (2024)
Numerous people have died as a result of the coronavirus outbreak in 2019 (COVID-19), which also affected millions of others worldwide. The infection spreads quickly. Therefore, technology that enables quick virus detection will offer healthcare prof
Externí odkaz:
https://doaj.org/article/70f04342fef646ad94fa40e139deaaed
Publikováno v:
Pakistan Journal of Engineering & Technology, Vol 7, Iss 3 (2024)
Bone fractures are a critical medical condition requiring a thorough and accurate diagnosis to ensure proper treatment and healing. The physical examination of X-ray images by radiologists is time-consuming and subject to human error, indicating the
Externí odkaz:
https://doaj.org/article/5730c2224e334e55b075b1cfcfb56e6c
Autor:
Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Iqra Iqbal Khan, Atif Imran, Syed Baqir Hussain Shah, Atif Mehmood, Shahzad Ahmad Qureshi, Mudassar Raza, Angelo Di Terlizzi, Marco Cavaglià, Marco Agostino Deriu
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Detecting lung diseases in medical images can be quite challenging for radiologists. In some cases, even experienced experts may struggle with accurately diagnosing chest diseases, leading to potential inaccuracies due to complex or unseen biomarkers
Externí odkaz:
https://doaj.org/article/8f90de64a5c949b382b85908a2d6a521
Autor:
Zhong He, Neng Lu, Yi Chen, Elvis Chun-Sing Chui, Zhen Liu, Xiaodong Qin, Jie Li, Shengru Wang, Junlin Yang, Zhiwei Wang, Yimu Wang, Yong Qiu, Wayne Yuk-Wai Lee, Jack Chun-Yiu Cheng, Kenneth Guangpu Yang, Adam Yiu-Chung Lau, Xiaoli Liu, Xipu Chen, Wu-Jun Li, Zezhang Zhu
Publikováno v:
EClinicalMedicine, Vol 75, Iss , Pp 102779- (2024)
Summary: Background: Adolescent idiopathic scoliosis (AIS) is the most common spinal disorder in children, characterized by insidious onset and rapid progression, which can lead to severe consequences if not detected in a timely manner. Currently, th
Externí odkaz:
https://doaj.org/article/9c410a905be04bbeb9f73d89f92278ab
Autor:
Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yingwei Guo, Ziran Chen, Chengcheng Liu, Zhanglei Ouyang, Huai Chen, Yan Kang
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
IntroductionThe cardiothoracic ratio (CTR) based on postero-anterior chest X-rays (P-A CXR) images is one of the most commonly used cardiac measurement methods and an indicator for initially evaluating cardiac diseases. However, the hearts are not re
Externí odkaz:
https://doaj.org/article/c4812ad3039b4d688f8711e8a2712a19