[PDF][PDF] Bone fracture detection in X-ray images using convolutional neural network

R Bagaria, S Wadhwani… - International Journal Of …, 2022 - researchgate.net
It is critical to design a fracture detection system to offer quick results and reduce diagnosing
errors. Using X-ray images in growing artificial intelligence methodologies, especially the …

[HTML][HTML] 基于CEEMD 和改进小波阈值法的钢架结构沉降数据去噪方法

王民顿, 尚俊娜 - 大地测量与地球动力学, 2022 - html.rhhz.net
在钢架结构安全监测过程中, 针对沉降数据易受外界环境噪声干扰的问题, 在互补集合经验模态
分解(CEEMD) 的基础上提出改进小波阈值函数的去噪方法. 首先对含噪信号作CEEMD 分解 …

Stroke type classification model based on risk factors using resilient backpropagation neural networks

S Annas, A Aswi, M Abdy, B Poerwanto… - AIP Conference …, 2023 - pubs.aip.org
Stroke is a disease among the top 10 causes of death in the world and Indonesia. Stroke is
divided into two, namely ischemic stroke and hemorrhagic stroke. Stroke can happen to …

Information security of hospital computer network based on SAE deep neural network

G Li, Z Dong, Y Wang - Applied Mathematics and Nonlinear Sciences, 2024 - sciendo.com
As the pace of hospital informatization construction continues to accelerate, information
network technologies are being used more and more extensively in the medical industry …

K-Means Clustering & Wavelet Based Texture Feature Set For Brain Image Classification

R Maurya, S Wadhwani - 2023 1st International Conference on …, 2023 - ieeexplore.ieee.org
Brain tumors and brain cancer can have varying prognoses based on factors such as tumor
type and location, patient age, and overall health. Early detection of brain tumors is crucial …

[PDF][PDF] Bone fractures detection in X-ray images

M MOHAMED - archives.univ-biskra.dz
Bone fractures are a prevalent medical condition that has significant implications for patient
care and recovery. The accurate and timely detection of fractures plays a vital role in …