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Pneumonia Detection from Chest X-Ray Images Using Deep Learning and Transfer Learning for Imbalanced Datasets
Pneumonia Detection from Chest X-Ray Images Using Deep Learning and Transfer Learning for Imbalanced Datasets
Pneumonia remains a significant global health challenge, necessitating timely and accurate diagnosis for effective treatme...
Active Learning with Particle Swarm Optimization for Enhanced Skin Cancer Classification Utilizing Deep CNN Models
Active Learning with Particle Swarm Optimization for Enhanced Skin Cancer Classification Utilizing Deep CNN Models
Skin cancer is a critical global health issue, with millions of non-melanoma and melanoma cases diagnosed annually. Early ...
A Comparison of Deep Learning vs. Dental Implantologists in Cone-Beam Computed Tomography-Based Bone Quality Classification
A Comparison of Deep Learning vs. Dental Implantologists in Cone-Beam Computed Tomography-Based Bone Quality Classification
Bone quality assessment is crucial for pre-surgical implant planning, influencing both implant design and drilling protoco...
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models
Deep learning techniques hold immense promise for advancing medical image analysis, particularly in tasks like image segme...
Technical Note: Neural Network Architectures for Self-Supervised Body Part Regression Models with Automated Localized Segmentation Application
Technical Note: Neural Network Architectures for Self-Supervised Body Part Regression Models with Automated Localized Segmentation Application
The advancement of medical image deep learning necessitates tools that can accurately identify body regions from whole-bod...
Deep Learning–Based Pediatric Brain Region Segmentation and Volumetric Analysis for General Growth Pattern in Healthy Children
Deep Learning–Based Pediatric Brain Region Segmentation and Volumetric Analysis for General Growth Pattern in Healthy Children
To establish a quantitative reference for brain structural changes in children with neurological disorders, we employed de...
Improved Diagnostic Performance Using Dual-Energy CT-Derived Slope Parameter Images in Crohn’s Disease
Improved Diagnostic Performance Using Dual-Energy CT-Derived Slope Parameter Images in Crohn’s Disease
The objective of the study is to explore the image quality and diagnosis performance of the dual-energy CT-derived slope p...
MRI Radiomics-Based Machine Learning to Predict Lymphovascular Invasion of HER2-Positive Breast Cancer
MRI Radiomics-Based Machine Learning to Predict Lymphovascular Invasion of HER2-Positive Breast Cancer
This study aims to develop and prospectively validate radiomic models based on MRI to predict lymphovascular invasion (LVI...
Impact of Harmonization on MRI Radiomics Feature Variability Across Preprocessing Methods for Parkinson’s Disease Motor Subtype Classification
Impact of Harmonization on MRI Radiomics Feature Variability Across Preprocessing Methods for Parkinson’s Disease Motor Subtype Classification
This study aimed to assess the reproducibility of MRI-derived radiomic features across multiple preprocessing methods for ...
An Automated Diagnosis of Parkinson’s Disease from MRI Scans Based on Enhanced Residual Dense Network with Attention Mechanism
An Automated Diagnosis of Parkinson’s Disease from MRI Scans Based on Enhanced Residual Dense Network with Attention Mechanism
The increasing prevalence of neurodegenerative diseases has recently heightened interest in research on early diagnosis of...
ChatGPT vs Gemini: Comparative Accuracy and Efficiency in CAD-RADS Score Assignment from Radiology Reports
ChatGPT vs Gemini: Comparative Accuracy and Efficiency in CAD-RADS Score Assignment from Radiology Reports
This study aimed to evaluate the accuracy and efficiency of ChatGPT-3.5, ChatGPT-4o, Google Gemini, and Google Gemini Adva...
Radiomics-Based Diagnosis in Dentomaxillofacial Radiology: A Systematic Review
Radiomics-Based Diagnosis in Dentomaxillofacial Radiology: A Systematic Review
Radiomics is a quantitative tool for digital image analysis. This systematic review aims to investigate the scientific art...
Automatic Classification of Focal Liver Lesions Based on Multi-Sequence MRI
Automatic Classification of Focal Liver Lesions Based on Multi-Sequence MRI
Accurate and automated diagnosis of focal liver lesions is critical for effective radiological practice and patient treatm...
Pulmonary CT Registration Network Based on Deformable Cross Attention
Pulmonary CT Registration Network Based on Deformable Cross Attention
Current Transformer structure utilizes the self-attention mechanism to model global contextual relevance within image, whi...
Urine Sediment Detection Algorithm Based on Channel Enhancement and Deformable Convolution
Urine Sediment Detection Algorithm Based on Channel Enhancement and Deformable Convolution
Urine sediment detection is a vital method in clinical urine analysis for evaluating an individual’s kidney and urin...
Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP Explanations: A Multicenter Cohort Study
Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP Explanations: A Multicenter Cohort Study
This study sought to develop and validate different machine learning (ML) models that leverage non-contrast MRI radiomics ...
An Innovative Attention-based Triplet Deep Hashing Approach to Retrieve Histopathology Images
An Innovative Attention-based Triplet Deep Hashing Approach to Retrieve Histopathology Images
Content-based histopathology image retrieval (CBHIR) can assist in the diagnosis of different diseases. The retrieval proc...
The Impact of Artificial Intelligence on Radiologists’ Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study
The Impact of Artificial Intelligence on Radiologists’ Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study
To evaluate the real-world impact of artificial intelligence (AI) on radiologists' reading time during bone age (BA) r...
Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging
Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging
The objective of the study is to assess the clinical value of machine learning radiomics based on contrast-enhanced comput...
A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support
A Comparative Evaluation of Large Language Model Utility in Neuroimaging Clinical Decision Support
Imaging utilization has increased dramatically in recent years, and at least some of these studies are not appropriate for...
Cone-Beam CT to CT Image Translation Using a Transformer-Based Deep Learning Model for Prostate Cancer Adaptive Radiotherapy
Cone-Beam CT to CT Image Translation Using a Transformer-Based Deep Learning Model for Prostate Cancer Adaptive Radiotherapy
Cone-beam computed tomography (CBCT) is widely utilized in image-guided radiation therapy; however, its image quality is p...
Scientific Abstracts from the 2024 Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM)
Scientific Abstracts from the 2024 Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM)
Title: 2024 Conference on Machine Intelligence in Medical Imaging (CMIMI)Date: Octobe...
Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer
Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer
Early screening is crucial in reducing the mortality of colorectal cancer (CRC). Current screening methods, including feca...
Volumetric Integrated Classification Index: An Integrated Voxel-Based Morphometry and Machine Learning Interpretable Biomarker for Post-Traumatic Stress Disorder
Volumetric Integrated Classification Index: An Integrated Voxel-Based Morphometry and Machine Learning Interpretable Biomarker for Post-Traumatic Stress Disorder
PTSD is a complex mental health condition triggered by individuals’ traumatic experiences, with long-term and broad ...
Learnable Context in Multiple Instance Learning for Whole Slide Image Classification and Segmentation
Learnable Context in Multiple Instance Learning for Whole Slide Image Classification and Segmentation
Multiple instance learning (MIL) has become a cornerstone in whole slide image (WSI) analysis. In this paradigm, a WSI is ...
Diagnostic Performance of a Next-Generation Virtual/Augmented Reality Headset: A Pilot Study of Diverticulitis on CT
Diagnostic Performance of a Next-Generation Virtual/Augmented Reality Headset: A Pilot Study of Diverticulitis on CT
Next-generation virtual/augmented reality (VR/AR) headsets may rival the desktop computer systems that are approved for cl...
A Multi-model Deep Learning Architecture for Diagnosing Multi-class Skin Diseases
A Multi-model Deep Learning Architecture for Diagnosing Multi-class Skin Diseases
Skin diseases are a significant global public health concern, affecting 21–85% of the world’s population, part...
Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn’s Disease on CT Enterography Across Annotation Variations and Acquisition Differences
Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn’s Disease on CT Enterography Across Annotation Variations and Acquisition Differences
To systematically identify radiomics features on CT enterography (CTE) scans which can accurately diagnose active Crohn...
SDS-Net: A Synchronized Dual-Stage Network for Predicting Patients Within 4.5-h Thrombolytic Treatment Window Using MRI
SDS-Net: A Synchronized Dual-Stage Network for Predicting Patients Within 4.5-h Thrombolytic Treatment Window Using MRI
Timely and precise identification of acute ischemic stroke (AIS) within 4.5 h is imperative for effective treatme...
Deep Learning Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue
Deep Learning Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue
RNAscope staining of breast cancer tissue allows pathologists to deduce genetic characteristics of the cancer by inspectio...
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