AIMC Topic: Radionuclide Imaging
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Deep neural models for automated multi-task diagnostic scan management-quality enhancement, view classification and report generation.
Biomedical physics & engineering express
Nov 30, 2021
The detailed physiological perspectives captured by medical imaging provides actionable insights to doctors to manage comprehensive care of patients. However, the quality of such diagnostic image modalities is often affected by mismanagement of the i...
The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study.
BMC nephrology
Nov 9, 2021
OBJECTIVE: To assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GFR) and validate whether it is a better model than the Asian modified Chronic Kidney Disease Epidemio...
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Nov 5, 2021
The nuclear medicine field has seen a rapid expansion of academic and commercial interest in developing artificial intelligence (AI) algorithms. Users and developers can avoid some of the pitfalls of AI by recognizing and following best practices in ...
Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks.
Sensors (Basel, Switzerland)
Oct 12, 2021
In the current industrial landscape, increasingly pervaded by technological innovations, the adoption of optimized strategies for asset management is becoming a critical key success factor. Among the various strategies available, the "Prognostics and...
Graph Attention Feature Fusion Network for ALS Point Cloud Classification.
Sensors (Basel, Switzerland)
Sep 15, 2021
Classification is a fundamental task for airborne laser scanning (ALS) point cloud processing and applications. This task is challenging due to outdoor scenes with high complexity and point clouds with irregular distribution. Many existing methods ba...
Multiclass classification of whole-body scintigraphic images using a self-defined convolutional neural network with attention modules.
Medical physics
Sep 14, 2021
PURPOSE: A self-defined convolutional neural network is developed to automatically classify whole-body scintigraphic images of concern (i.e., the normal, metastasis, arthritis, and thyroid carcinoma), automatically detecting diseases with whole-body ...
Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.
Annals of nuclear medicine
Sep 7, 2021
OBJECTIVE: Chronic kidney disease (CKD) is evaluated based on glomerular filtration rate (GFR) using a gamma camera in the nuclear medicine center or hospital in a routine procedure, but the gamma camera does not provide the accurate stages of the di...
Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.
BMC medical imaging
Sep 4, 2021
BACKGROUND: We aimed to construct an artificial intelligence (AI) guided identification of suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by convolutional neural networks (CNNs).
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy.
Computers in biology and medicine
Aug 4, 2021
BACKGROUND: In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate estimation of multi-class retinal fluid (MRF) is required for the activity prescription and intravitreal dose. This study proposes an end-to-end deep learning-bas...
H-scan trajectories indicate the progression of specific diseases.
Medical physics
Aug 3, 2021
PURPOSE: The ability of ultrasound to assess pathology is increasing with the development of quantitative parameters. Among these are a set of parameters derived from the recent H-scan analysis of subresolvable scattering. The emergence of these quan...
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