Demystifying supervised learning in healthcare 4.0: A new reality of transforming diagnostic medicine
The global healthcare sector continues to grow rapidly and is reflected as one of the fastest-
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Image processing plays a crucial role in maximising diagnostic quality of positron emission
tomography (PET) images. Recently, deep learning methods developed across many fields …
tomography (PET) images. Recently, deep learning methods developed across many fields …
PET image denoising based on denoising diffusion probabilistic model
Purpose Due to various physical degradation factors and limited counts received, PET
image quality needs further improvements. The denoising diffusion probabilistic model …
image quality needs further improvements. The denoising diffusion probabilistic model …
An improved YOLOv5-based underwater object-detection framework
J Zhang, J Zhang, K Zhou, Y Zhang, H Chen, X Yan - Sensors, 2023 - mdpi.com
To date, general-purpose object-detection methods have achieved a great deal. However,
challenges such as degraded image quality, complex backgrounds, and the detection of …
challenges such as degraded image quality, complex backgrounds, and the detection of …
[HTML][HTML] [18F] FDG-PET/CT radiomics and artificial intelligence in lung cancer: technical aspects and potential clinical applications
R Manafi-Farid, E Askari, I Shiri, C Pirich… - Seminars in nuclear …, 2022 - Elsevier
Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Positron emission tomography/computed tomography (PET/CT) is increasingly used in
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
oncology, neurology, cardiology, and emerging medical fields. The success stems from the …
New PET technologies–embracing progress and pushing the limits
Thanks to companies' research and development processes, frequently involving fruitful
partnerships with academic centres, and what could be acknowledged as welcome …
partnerships with academic centres, and what could be acknowledged as welcome …
Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
M Azeem, S Javaid, RA Khalil, H Fahim, T Althobaiti… - Bioengineering, 2023 - mdpi.com
Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …
of raw data into beneficial medical decisions for treatment and care has increased in …
Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans
A Mehranian, SD Wollenweber, MD Walker… - European Journal of …, 2022 - Springer
Purpose To improve the quantitative accuracy and diagnostic confidence of PET images
reconstructed without time-of-flight (ToF) using deep learning models trained for ToF image …
reconstructed without time-of-flight (ToF) using deep learning models trained for ToF image …
Spach Transformer: Spatial and channel-wise transformer based on local and global self-attentions for PET image denoising
Position emission tomography (PET) is widely used in clinics and research due to its
quantitative merits and high sensitivity, but suffers from low signal-to-noise ratio (SNR) …
quantitative merits and high sensitivity, but suffers from low signal-to-noise ratio (SNR) …