Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer.

Objective: To explore the value of applying computed tomography (CT) radiomics based on different CT-enhanced phases to determine the immunotherapeutic efficacy of non-small cell lung cancer (NSCLC).

Methods: 106 patients with NSCLC who underwent immunotherapy are randomly divided into training (74) and validation (32) groups. CT-enhanced arterial and venous phase images of patients before treatment are collected.

Intelligent Early Fault Diagnosis of Space Flywheel Rotor System.

Three frequently encountered problems-a variety of fault types, data with insufficient labels, and missing fault types-are the common challenges in the early fault diagnosis of space flywheel rotor systems. Focusing on the above issues, this paper proposes an intelligent early fault diagnosis method based on the multi-channel convolutional neural network with hierarchical branch and similarity clustering (HB-SC-MCCNN). First, a similarity clustering (SC) method is integrated into the parameter-shared dual MCCNN architecture to set up as the basic structural block.

[A simple and accurate algorithm for identifying the R waves].

QRS complex has its distinct characteristics as compared with other waves in Electrocardiogram (ECG). In this paper is introduced a kind of algorithm to identify the R waves, which combines forward-backward difference algorithm, half-wave width algorithm and R-R interval algorithm. The algorithm is simple and reliable.

[Lorenz plot and its application in automatic diagnoses of atrial fibrillation ECG signals].

In this paper is presented the Lorenz plot, the qualitative analyses and quantitative parameters of the plot. The long axis vs short axis(LVS) parameter is given. Atrial Fibrillation Electrocardiogram (AF ECG) is compared with sinus ECG by use of Lorenz plot.