[HTML][HTML] A Lightweight, Secure Authentication Model for the Smart Agricultural Internet of Things
F Pan, B Zhang, X Zhao, L Shuai, P Chen, X Duan - Agronomy, 2023 - mdpi.com
The advancement of smart agriculture, with information technology serving as a pivotal
enabling factor, plays a crucial role in achieving food security, optimizing production …
enabling factor, plays a crucial role in achieving food security, optimizing production …
Fast SPECT/CT planar bone imaging enabled by deep learning enhancement
Z Pan, N Qi, Q Meng, B Pan, T Feng, J Zhao… - Medical …, 2024 - Wiley Online Library
Background The application of deep learning methods in rapid bone scintigraphy is
increasingly promising for minimizing the duration of SPECT examinations. Recent works …
increasingly promising for minimizing the duration of SPECT examinations. Recent works …
An Edge-Preserving Image Denoising Framework by Adaptive Thresholding-Based DWT and Modified Deep Structured Architecture
SR Thamanam, K Manjunathachari… - Neural Processing …, 2023 - Springer
Edge preserving denoising is a realistic procedure in most image-editing methodologies
such as privacy protection, action movie creation, and visual aesthetic enhancement. But …
such as privacy protection, action movie creation, and visual aesthetic enhancement. But …
Acquisition time reduction in pediatric 99mTc‐DMSA planar imaging using deep learning
S Ichikawa, H Sugimori, K Ichijiri… - Journal of Applied …, 2023 - Wiley Online Library
Purpose Given the potential risk of motion artifacts, acquisition time reduction is desirable in
pediatric 99mTc‐dimercaptosuccinic acid (DMSA) scintigraphy. The aim of this study was to …
pediatric 99mTc‐dimercaptosuccinic acid (DMSA) scintigraphy. The aim of this study was to …
Verification of image quality improvement of low-count bone scintigraphy using deep learning
T Murata, T Hashimoto, M Onoguchi… - … Physics and Technology, 2024 - Springer
To improve image quality for low-count bone scintigraphy using deep learning and evaluate
their clinical applicability. Six hundred patients (training, 500; validation, 50; evaluation, 50) …
their clinical applicability. Six hundred patients (training, 500; validation, 50; evaluation, 50) …
Improvement of Image Quality in Low-Count Bone Scintigraphy Using Deep Learning
T Murata, M Onoguchi, T Hashimoto, T Shibutani… - 2023 - researchsquare.com
Objective To improve image quality for low-count bone scintigraphy whole-body images
using deep learning and evaluate their applicability in clinical practice. Methods Five …
using deep learning and evaluate their applicability in clinical practice. Methods Five …