Search
Search Results
-
Vertebrae segmentation in reduced radiation CT imaging for augmented reality applications
PurposeThere is growing evidence for the use of augmented reality (AR) navigation in spinal surgery to increase surgical accuracy and improve...
-
Proximal humeral fractures in children - controversies in decision making
BackgroundProximal humeral fractures in children are rare and usually treated non-operatively, especially in children younger than ten. The decision...
-
Bridging the gap: interactive, case-based learning in radiology education
Traditional teaching methods in radiology education have not kept pace with advances in technology that foster successful transition into independent...
-
Finite-Element Modelling Based on Optical Coherence Tomography and Corresponding X-ray MicroCT Data for Three Human Middle Ears
PurposeOptical coherence tomography (OCT) is an emerging imaging modality which is non-invasive, can be employed in vivo, and can record both anatomy...
-
Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging
BackgroundDeep learning (DL) algorithms are playing an increasing role in automatic medical image analysis.
PurposeTo evaluate the performance of a...
-
Artificial intelligence in diagnostic pathology
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate...
-
The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists
PurposeTo compare the diagnostic performance of deep learning models using convolutional neural networks (CNN) with that of radiologists in...
-
Analysis of the Intra- and Inter-observer Reliabilities of Delbet Classification: Is Simplification Required
ObjectiveThis study aims to investigate the intra- and inter-reliabilities of Delbet classification and whether simplifying the classification...
-
Comparison of two segmentation software tools for deep brain stimulation of the subthalamic and ventro-intermedius nuclei
PurposeDeep brain stimulation (DBS) relies on precise targeting of key structures such as the subthalamic nucleus (STN) for Parkinson’s disease (PD)...
-
Estimation of Normal Semi-circular Canal Dimensions on Computed Tomography
AimsTo measure and compare length, width and luminal diameters of semi-circular canals (SCC) on Multiplanar reformatted CT images in individuals...
-
Telemedizin in der Epilepsieversorgung: Arzt-zu-Arzt-Anwendungen
BackgroundDuring the last 10 years several German epilepsy centers (Bochum, Erlangen, Greifswald, Berlin Brandenburg, Frankfurt Rhein-Main) developed...
-
The relevance of knee arthroscopy photographs in medicolegal proceedings
PurposeWhether photographs included in the operative report of knee arthroscopies can make the surgeon liable in the event of a legal investigation...
-
Increasing access to pathology services in low- and middle-income countries through innovative use of telepathology
IntroductionIn low- and middle-income countries (LMICs), surgical care can be limited by access to pathology services. In Uganda, the...
-
Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study
BackgroundThis retrospective study aims to validate the effectiveness of artificial intelligence (AI) to detect and classify non-mass breast lesions...
-
Bridging the resources gap: deep learning for fluorescein angiography and optical coherence tomography macular thickness map image translation
BackgroundTo assess the ability of the pix2pix generative adversarial network (pix2pix GAN) to synthesize clinically useful optical coherence...
-
A modified position for optimized skeletal maturity assessment of AIS patients and its impact on 3D spinal and pelvic parameters
PurposeA hands-on-wall (HOW) position for low-dose stereoradiography of adolescent idiopathic scoliosis (AIS) patients would allow for skeletal...
-
Skin Lesion Area Segmentation Using Attention Squeeze U-Net for Embedded Devices
Melanoma is the deadliest form of skin cancer. Early diagnosis of malignant lesions is crucial for reducing mortality. The use of deep learning...
-
Fully Automated Measurement of the Insall-Salvati Ratio with Artificial Intelligence
Patella alta (PA) and patella baja (PB) affect 1–2% of the world population, but are often underreported, leading to potential complications like...
-
Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm
ObjectivesTo develop and validate an open-source artificial intelligence (AI) algorithm to accurately detect contrast phases in abdominal CT scans.
...
-
Choosing the larger kidney on CT volumetry: a study on the early post-donation kidney function of living donors
BackgroundSelecting the smaller kidney for donation has been advocated if there is a size difference of > 10% between the 2 kidneys but has never...
