The usage of various machine learning methods which is a subset of artificial intelligence
has revolutionized healthcare organizations by extracting the relevant patterns and …

摘要卷积神经网络(CNN) 在新冠肺炎X 射线图像分类中取得诸多成果, 但卷积结构只能学习到
特征图相邻空间位置的上下文信息. 为了更好地结合胸部X 射线图像全局信息, 除了提高CNN …

This investigation attempts to propose a novel Wavelet and Local Binary Pattern-based
Xception feature Descriptor (WLBPXD) framework, which uses a deep-learning model for …

Lungs play major role for the respiratory rate in a human being. Lung cancer can be
detected only after the disease spreads to neighboring parts and hence detecting lung …

Rotator cuff (RC) tears can cause acromion sclerosis associated with quantitative correlation
between the severity of tear and severity of acromial sclerosis. The object of this study was to …

Interstitial lung diseases (ILDs) are adverse disorders, damaging the lung tissues, thus
making timely diagnosis imperative. To counter the scarcity of publicly available high …

Numerous prevailing approaches on lung disease identification are exploited with deep
learning, but it does not precisely categorise the lung disease and correspondingly it takes …

Paru-paru merupakan organ vital dalam tubuh manusia. Paru-paru berfungsi mengangkut
oksigen ke dalam tubuh dan mengeluarkan karbon dioksida keluar dari tubuh. Proses …

Lung diseases pose a significant global health challenge, underscoring the critical need for
prompt and precise diagnoses to facilitate effective treatments and enhance patient …

Recent research indicates that healthcare is a critical component of our daily lives, and the
medical industry is developing advanced techniques for detecting illnesses as technology …