SCI时时刷

search
+
A Hybrid Framework of Dual-Domain Signal Restoration and Multi-depth Feature Reinforcement for Low-Dose Lung CT Denoising
A Hybrid Framework of Dual-Domain Signal Restoration and Multi-depth Feature Reinforcement for Low-Dose Lung CT Denoising
Low-dose computer tomography (LDCT) has been widely used in medical diagnosis. Various denoising methods have been present...
From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images
From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images
Survival analysis is an integral part of medical statistics that is extensively utilized to establish prognostic indices f...
Correlation Between Cognitive Impairment and Lenticulostriate Arteries: A Clinical and Radiomics Analysis
Correlation Between Cognitive Impairment and Lenticulostriate Arteries: A Clinical and Radiomics Analysis
Lenticulostriate arteries (LSA) are potentially valuable for studying vascular cognitive impairment. This study aims to in...
Auto-BCS: A Hybrid System for Real-Time Breast Cancer Screening from Pathological Images
Auto-BCS: A Hybrid System for Real-Time Breast Cancer Screening from Pathological Images
Breast cancer is recognized as a prominent cause of cancer-related mortality among women globally, emphasizing the critica...
Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs—A Preliminary Study
Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs—A Preliminary Study
Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (DLIR) algorithm in dif...
A Systematic Review on Caries Detection, Classification, and Segmentation from X-Ray Images: Methods, Datasets, Evaluation, and Open Opportunities
A Systematic Review on Caries Detection, Classification, and Segmentation from X-Ray Images: Methods, Datasets, Evaluation, and Open Opportunities
Dental caries occurs from the interaction between oral bacteria and sugars, generating acids that damage teeth over time. ...
From CNN to Transformer: A Review of Medical Image Segmentation Models
From CNN to Transformer: A Review of Medical Image Segmentation Models
Medical image segmentation is an important step in medical image analysis, especially as a crucial prerequisite for effici...
Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm
Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm
Coronary computed tomography angiography (CCTA) is an essential part of the diagnosis of chronic coronary syndrome (CCS) i...
Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique
Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique
Image segmentation is a crucial task in computer vision and image processing, with numerous segmentation algorithms being ...
Diagnostic Performance of Artificial Intelligence in Detection of Hepatocellular Carcinoma: A Meta-analysis
Diagnostic Performance of Artificial Intelligence in Detection of Hepatocellular Carcinoma: A Meta-analysis
Due to the increasing interest in the use of artificial intelligence (AI) algorithms in hepatocellular carcinoma detection...
Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution
Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution
The purpose of this study was to develop a computerized segmentation method for nonmasses using ResUNet++ with a sli...
Prediction of Ablation Rate for High-Intensity Focused Ultrasound Therapy of Adenomyosis in MR Images Based on Multi-model Fusion
Prediction of Ablation Rate for High-Intensity Focused Ultrasound Therapy of Adenomyosis in MR Images Based on Multi-model Fusion
This study aimed to develop a model based on radiomics and deep learning features to predict the ablation rate in patients...
DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive Vision
DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive Vision
The utilization of advanced intraoral scanners to acquire 3D dental models has gained significant popularity in the fields...
Independently Trained Multi-Scale Registration Network Based on Image Pyramid
Independently Trained Multi-Scale Registration Network Based on Image Pyramid
Image registration is a fundamental task in various applications of medical image analysis and plays a crucial role in aux...
Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm
Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm
This study aimed to investigate the effects of intravenous injection of iodine contrast agent on the tracheal diameter and...
Development and Validation of Multimodal Models to Predict the 30-Day Mortality of ICU Patients Based on Clinical Parameters and Chest X-Rays
Development and Validation of Multimodal Models to Predict the 30-Day Mortality of ICU Patients Based on Clinical Parameters and Chest X-Rays
We aimed to develop and validate multimodal ICU patient prognosis models that combine clinical parameters data and chest X...
Identification and Localization of Indolent and Aggressive Prostate Cancers Using Multilevel Bi-LSTM
Identification and Localization of Indolent and Aggressive Prostate Cancers Using Multilevel Bi-LSTM
Identifying indolent and aggressive prostate cancers is a critical problem for optimal treatment. The existing approaches ...
Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images
Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images
A significant challenge in machine learning-based medical image analysis is the scarcity of medical images. Obtaining a la...
Feature Fusion for Multi-Coil Compressed MR Image Reconstruction
Feature Fusion for Multi-Coil Compressed MR Image Reconstruction
Magnetic resonance imaging (MRI) occupies a pivotal position within contemporary diagnostic imaging modalities, offering n...
Correction to: The FIND Program: Improving Follow-up of Incidental Imaging Findings
Correction to: The FIND Program: Improving Follow-up of Incidental Imaging Findings
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whi...
Journal of Imaging Informatics in Medicine
Sorry, the page you requested is unavailable. The link you requested might be broken, or no...
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
Heart failure caused by iron deposits in the myocardium is the primary cause of mortality in beta-thalassemia major patien...
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks
Two data-driven algorithms were developed for detecting and characterizing Inferior Vena Cava (IVC) filters on abdominal c...
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review
With the advances in endoscopic technologies and artificial intelligence, a large number of endoscopic imaging datasets ha...
DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation
DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation
Precise segmentation of the hippocampus is essential for various human brain activity and neurological disorder studies. T...
External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer
External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer
Lung cancer is the second most fatal disease worldwide. In the last few years, radiomics is being explored to develop pred...
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios
Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image proces...
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis—a Pilot Study
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis—a Pilot Study
The purpose of this study is to evaluate the accuracy and inter-observer agreement of a quantitative pulmonary surface irr...
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment
Glucose transporter-1 (GLUT-1) expression level is a biomarker of tumour hypoxia condition in immunohistochemistry (IHC)-s...
Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7
Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7
The study aimed to evaluate the impact of image size, area of detection (IoU) thresholds and confidence thresholds on the ...
阅读更多
format_indent_increase