The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers.

Background: This study investigated whether the Combat compensation method can remove the variability of radiomic features extracted from different scanners, while also examining its impact on the subsequent predictive performance of machine learning models.

Materials And Methods: 135 CT images of Credence Cartridge Radiomic phantoms were collected and screened from three scanners manufactured by Siemens, Philips, and GE. 100 radiomic features were extracted and 20 radiomic features were screened according to the Lasso regression method.

Disaster Preparedness and Safety Curriculum for Early Childhood Education in Indonesia.

Background: Indonesia is located within the Asia-Pacific Ring of Fire, so natural disasters such as earthquakes, tsunamis, volcanic eruptions, floods, and landslides are common. Preparedness is essential to prevent many casualties due to various disasters.

Problem: The Aceh, Indonesia earthquake and tsunami in 2004 was one of the most devastating disasters since the 1990s.

Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer.

Background: Radiomic diagnosis models generally consider only a single dimension of information, leading to limitations in their diagnostic accuracy and reliability. The integration of multiple dimensions of information into the deep learning model have the potential to improve its diagnostic capabilities. The purpose of study was to evaluate the performance of deep learning model in distinguishing tuberculosis (TB) nodules and lung cancer (LC) based on deep learning features, radiomic features, and clinical information.

3D Printed Robot Hand Structure Using Four-Bar Linkage Mechanism for Prosthetic Application.

Trans-radial prosthesis is a wearable device that intends to help amputees under the elbow to replace the function of the missing anatomical segment that resembles an actual human hand. However, there are some challenging aspects faced mainly on the robot hand structural design itself. Improvements are needed as this is closely related to structure efficiency.