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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs.
J Imaging
January 2025
Department of Food Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan.
Pneumonia, a leading cause of mortality in children under five, is usually diagnosed through chest X-ray (CXR) images due to its efficiency and cost-effectiveness. However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset.
View Article and Find Full Text PDFDigital Image Analysis of Vertebral Body S1 and Its Ossification Center in the Human Fetus.
Brain Sci
January 2025
Department of Normal Anatomy, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, The Nicolaus Copernicus University in Toruń, 87-100 Toruń, Poland.
Objectives: The aim of the present study was to examine the growth dynamics of the first sacral vertebra and its ossification center in the human fetus, based on their linear, planar, and volumetric parameters.
Methods: The examinations were carried out on 54 human fetuses of both sexes (26 males and 28 females) aged 18-30 weeks of gestation, which had been preserved in 10% neutral formalin solution. Using CT, digital image analysis software, 3D reconstruction, and statistical methods, the size of the first sacral vertebra and its ossification center was evaluated.
Standardized Reporting of HCC with LI-RADS and mRECIST: Update on the Situation in Germany.
Rofo
January 2025
Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
Online survey about the current status of CT protocols in hepatocellular carcinoma (HCC) in the year 2023/2024. Moreover, the usage of structured reporting using LI-RADS and mRECIST was surveyed and the results were compared with a survey from 2020.Radiologists working in outpatient or inpatient care in Germany were invited.
View Article and Find Full Text PDFComparisons of integrated slice-specific dynamic shimming EPI and single-shot EPI diffusion-weighted imaging of the liver.
Eur J Radiol
January 2025
Department of Radiology, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, Hunan, 410011, China; Department of Radiology Quality Control Center, Changsha, Hunan Province, 410011, China; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi'an Jiaotong University, Xi'an 710049,China. Electronic address:
Purpose: To compare the quality of DWI images, signal loss of left hepatic lobe and diagnostic performance of apparent diffusion coefficient (ADC) values between SS-EPI and iShim-EPI in liver lesions.
Methods: Totally 142 patients were involved, images using SS-EPI and the prototype iShim-EPI were acquired before injection of gadoxetic acid-enhanced liver MRI.Image quality of demarcation of liver capsule, resolution, lesion distortion, artifacts, lesion confidence score, and signal loss in left hepatic lobe was assessed by two radiologists.
A comparison of CXR-CAD software to radiologists in identifying COVID-19 in individuals evaluated for Sars CoV-2 infection in Malawi and Zambia.
PLOS Digit Health
January 2025
FIND, Geneva, Switzerland.
AI based software, including computer aided detection software for chest radiographs (CXR-CAD), was developed during the pandemic to improve COVID-19 case finding and triage. In high burden TB countries, the use of highly portable CXR and computer aided detection software has been adopted more broadly to improve the screening and triage of individuals for TB, but there is little evidence in these settings regarding COVID-19 CAD performance. We performed a multicenter, retrospective cross-over study evaluating CXRs from individuals at risk for COVID-19.
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