Search
Search Results
-
Normal placental structural anatomy: ultrasound and doppler features elucidated with US-MR image fusion and ferumoxytol-enhanced MRI
PurposeTo elucidate ultrasound features of normal placental anatomy through correlation of gray-scale and ultrasound Doppler with...
-
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
Large numbers of radiographic images are available in musculoskeletal radiology practices which could be used for training of deep learning models...
-
Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction
ObjectiveTo demonstrate the clinical advantages of a deep-learning image reconstruction (DLIR) in low-dose dual-energy computed tomography...
-
The relationship between women's mode of delivery, body image, self-respect, and genital self-image
Introduction and hypothesisMany factors affect women’s genital self-image. This study was conducted to investigate the relationship between women's...
-
Evaluation of T2W FLAIR MR image quality using artificial intelligence image reconstruction techniques in the pediatric brain
BackgroundArtificial intelligence (AI) reconstruction techniques have the potential to improve image quality and decrease imaging time. However,...
-
Diffusion-weighted image analysis along the perivascular space (DWI–ALPS) for evaluating interstitial fluid status: age dependence in normal subjects
PurposeThe purpose of this study was to evaluate the interstitial fluid status in a wide range of age groups using diffusion-weighted image analysis...
-
The impact of severe obesity on image quality and ventricular function assessment in echocardiography and cardiac MRI
This study sought to evaluate the impact of severe obesity on image quality and ventricular function assessment in cardiovascular magnetic resonance...
-
Addressing inter-device variations in optical coherence tomography angiography: will image-to-image translation systems help?
BackgroundOptical coherence tomography angiography (OCTA) is an innovative technology providing visual and quantitative data on retinal...
-
Preferred mode of delivery association with the body image and genital image in pregnant women - a cross-sectional study
BackgroundPregnant women experience several changes in their appearance, body shape and body image. In some studies, there has been a relationship...
-
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods
PurposeTo evaluate robustness of a radiomics-based support vector machine (SVM) model for detection of visually occult PDA on pre-diagnostic CTs by...
-
Female genital self-image and body appreciation in Turkish women: a mixed methods study
The study investigated negative genital self-image in women and determined the effect of education on natural/normal female genital appearance...
-
Diagnostic performance and image quality of an image-based denoising algorithm applied to radiation dose-reduced CT in diagnosing acute appendicitis
PurposeTo evaluate diagnostic performance and image quality of ultralow-dose CT (ULDCT) in diagnosing acute appendicitis with an image-based...
-
Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in...
-
Low-dose versus standard-dose normal temporal bone CT in children: a comparison study
ObjectiveTo compare the image quality of normal anatomical structures and radiation dose on low-dose (LDCT) and standard-dose (SDCT) temporal bone CT...
-
Body image impact on quality of life and adolescents’ binge eating: the indirect role of body image co** strategies
PurposeThe role of body image in adolescent binge eating is widely confirmed, albeit the various facets of this relationship are still mostly...
-
Benchmarking PathCLIP for Pathology Image Analysis
Accurate image classification and retrieval are of importance for clinical diagnosis and treatment decision-making. The recent contrastive...
-
PET image denoising based on denoising diffusion probabilistic model
PurposeDue to various physical degradation factors and limited counts received, PET image quality needs further improvements. The denoising diffusion...
-
Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET
BackgroundInvestigate the potential benefits of sequential deployment of two deep learning (DL) algorithms namely DL-Enhancement (DLE) and DL-based...
-
Evaluation of 3D T1-weighted spoiled gradient echo MR image quality using artificial intelligence image reconstruction techniques in the pediatric brain
PurposeTo assess image quality and diagnostic confidence of 3D T1-weighted spoiled gradient echo (SPGR) MRI using artificial intelligence (AI)...
-
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline
De-identification of medical images intended for research is a core requirement for data sharing initiatives, particularly as the demand for data for...
