Results 41 to 50 of about 161,811 (385)
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging [PDF]
Chest X-ray is one of the most widespread examinations of the human body. In interventional radiology, its use is frequently associated with the need to visualize various tube-like objects, such as puncture needles, guiding sheaths, wires, and catheters. Detection and precise localization of these tube-like objects in the X-ray images is, therefore, of
arxiv +1 more source
Requirements for manuscript submission: What every author needs to know and comply with to facilitate the review process [PDF]
Not ...
Karabulut, Nevzat
core +2 more sources
SlicerPET: A workflow based software module for PET/CT guided needle biopsy [PDF]
Biopsy is commonly used to confirm cancer diagnosis when radiologically indicated. Given the ability of PET to localize malignancies in heterogeneous tumors and tumors that do not have a CT correlate, PET/CT guided biopsy may improve the diagnostic yield of biopsies.
arxiv +1 more source
Interventional radiology of glands [PDF]
Interventional radiology (IR) is the operative part of radiology providing minimally invasive image-guided diagnosis and treatment of disease. Although the range of procedures performed by interventional radiologists is broad, the unifying concept behind these procedures is the application of image guidance and minimally invasive techniques in order to
openaire +3 more sources
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data [PDF]
With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning segmentation algorithms have been proposed, allowing for subsequent automated analysis of morphology and pathology.
arxiv
Background There are no known treatments that halt or reverse chronic kidney disease (CKD) in cats. In rodent models, stem cell treatment has been associated with improvement in renal function parameters, especially when stem cells were delivered intra ...
Abigail L. Thomson+3 more
doaj +1 more source
Artificial intelligence (AI) uses computer algorithms to process and interpret data as well as perform tasks, while continuously redefining itself. Machine learning, a subset of AI, is based on reverse training in which evaluation and extraction of data ...
Elizabeth von Ende+3 more
doaj +1 more source
Application of Time Separation Technique to Enhance C-arm CT Dynamic Liver Perfusion Imaging [PDF]
Perfusion imaging is an interesting new modality for evaluation and assessment of the liver cancer treatment. C-Arm CT provides a possibility to perform perfusion imaging scans intra-operatively for even faster evaluation. The slow speed of the C-Arm CT rotation and the presence of the noise, however, have an impact on the reconstruction and therefore ...
arxiv
Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda+9 more
wiley +1 more source
The International Forum is held once a year by the ESR and its international radiological partner societies with the aim to address and discuss selected topics of global relevance in radiology.
European Society of Radiology (ESR)
doaj +1 more source