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Fast Real-Time Brain Tumor Detection Based on Stimulated Raman Histology and Self-Supervised Deep Learning Model
In intraoperative brain cancer procedures, real-time diagnosis is essential for ensuring safe and effective care. The prevailing workflow, which...
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Atlas of Swept Source OCT and OCT Angiography
The aim of this book is to explain this new technology and its advantages over previous imaging devices and to illustrate how it may be used in to...
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Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos
BackgroundAttention-deficit/hyperactivity disorder (ADHD) is diagnosed in accordance with Diagnostic and Statistical Manual of Mental Disorders,...
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Intravesical sustained release system of lidocaine and oxybutynin results from in vitro and animal study
PurposeInterstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic debilitating condition of unknown etiology. Intravesical lidocaine...
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Toward improving the performance of learning by joining feature selection and ensemble classification techniques: an application for cancer diagnosis
IntroductionBreast cancer is known as the most common type of cancer in women, and this has raised the importance of its diagnosis in medical science...
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Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application
The role of compression is vital in telemedicine for the storage and transmission of medical images. This work is based on Contextual Vector...
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Accuracy and applicability of dual-energy computed tomography in quantifying vertebral bone marrow adipose tissue compared with magnetic resonance imaging
ObjectivesTo evaluate the accuracy of dual-energy computed tomography (DECT) in quantifying bone marrow adipose tissue (BMAT) and its applicability...
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Improving the second-tier classification of methylmalonic acidemia patients using a machine learning ensemble method
IntroductionMethylmalonic acidemia (MMA) is a disorder of autosomal recessive inheritance, with an estimated prevalence of 1:50,000. First-tier...
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CT-Based Radiomics and Machine Learning for Differentiating Benign, Borderline, and Early-Stage Malignant Ovarian Tumors
To explore the value of CT-based radiomics model in the differential diagnosis of benign ovarian tumors (BeOTs), borderline ovarian tumors (BOTs),...
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Quantitative Analysis Methods Using Histogram and Entropy for Detector Performance Evaluation According to the Sensitivity Change of the Automatic Exposure Control in Digital Radiography
The purpose of this study is to evaluate detector performance using histogram and entropy analysis according to the sensitivity change of the...
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MRI, clinical, and radiomic models for differentiation of uterine leiomyosarcoma and leiomyoma
PurposeTo assess the predictive ability of conventional MRI features and MRI texture features in differentiating uterine leiomyoma (LM) from uterine...
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Experimental phantom evaluation to identify robust positron emission tomography (PET) radiomic features
BackgroundRadiomics analysis usually involves, especially in multicenter and large hospital studies, different imaging protocols for acquisition,...
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Correction to: Medical Image Retrieval Using Vector Quantization and Fuzzy S-Tree
The article Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree, written by Jana Nowaková, Michal Prílepok and Václav Snášel, was...
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Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data
This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile...
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Sacubitril/valsartan inhibits the proliferation of vascular smooth muscle cells through notch signaling and ERK1/2 pathway
AimsTo explore the role and mechanism of Notch signaling and ERK1/2 pathway in the inhibitory effect of sacubitril/valsartan on the proliferation of...
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Noninvasive quantitative ultrasound fatty liver evaluation of hepato-renal index in pediatric patients using 3D-slicer
AimHepato-renal index (HRI) calculated by ultrasound images has been shown to be an effective, noninvasive tool to screen patients with steatosis....
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Evaluation of myocardial viability in patients with myocardial ischemia reperfusion injury using the dual-energy CT myocardial blood pool imaging
ObjectivesTo evaluate myocardial viability in patients with myocardial ischemia reperfusion injury (MIRI) via dual-energy computed tomography...
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Enhancing Laryngeal Spinocellular Carcinoma Image Security with DCT
This work proposes a novel secret sharing scheme to enhance the security of Laryngeal Spinocellular Carcinoma or Laryngeal Squamous Cell Carcinoma...
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A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment
The near-lossless compression technique has better compression ratio than lossless compression technique while maintaining a maximum error limit for...
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The “digital biopsy” in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT
PurposeThe present pilot study investigates the putative role of radiomics from [18F]FDG PET/CT scans to predict PD-L1 expression status in non-small...
