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A comparison between 64-projection and 32-projection myocardial perfusion scintigraphy.
Eur Heart J Imaging Methods Pract
January 2025
Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Aims: While most clinical guidelines recommend using a 64-projection view technique, some protocols do not specify a preference between 32-projection and 64-projection methods for conducting myocardial perfusion scintigraphy (MPS), which shows the lack of consensus in this matter. Nevertheless, these guidelines and protocols have not provided us with compelling evidence to support why the 64-projection technique is usually chosen. Thus, we aimed to determine if there is a significant difference between them in the assessment of cardiac perfusion and functional indices.
View Article and Find Full Text PDFScoring of swine lung images: a comparison between a computer vision system and human evaluators.
Vet Res
January 2025
Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Cranioventral pulmonary consolidation (CVPC) is a common lesion observed in the lungs of slaughtered pigs, often associated with Mycoplasma (M.) hyopneumoniae infection. There is a need to implement simple, fast, and valid CVPC scoring methods.
View Article and Find Full Text PDFDeep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application.
Endocrinol Metab (Seoul)
January 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Background: This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules.
Methods: This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer.
MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data.
Photoacoustics
February 2025
Institute of Fiber Optics, Shanghai University, Shanghai 201800, China.
Photoacoustic imaging (PAI) is an emerging hybrid imaging technology that combines the advantages of optical and ultrasound imaging. Despite its excellent imaging capabilities, PAI still faces numerous challenges in clinical applications, particularly sparse spatial sampling and limited view detection. These limitations often result in severe streak artifacts and blurring when using standard methods to reconstruct images from incomplete data.
View Article and Find Full Text PDFDeep learning segmentation architectures for automatic detection of pancreatic ductal adenocarcinoma in EUS-guided fine-needle biopsy samples based on whole-slide imaging.
Endosc Ultrasound
December 2024
Department of Gastroenterology, Ponderas Academic Hospital, Bucharest, Romania.
Background: EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is difficult in view of the scarcity of malignant cells and the important desmoplastic reaction of these tumors. With the help of artificial intelligence, the deep learning architectures produce a fast, accurate, and automated approach for PDAC image segmentation based on whole-slide imaging.
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