[HTML][HTML] Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
The integration of positron emission tomography (PET) and single-photon emission
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
computed tomography (SPECT) imaging techniques with machine learning (ML) algorithms …
An improved dense CNN architecture for deepfake image detection
Recent advancements in computer vision processing need potent tools to create realistic
deepfakes. A generative adversarial network (GAN) can fake the captured media streams …
deepfakes. A generative adversarial network (GAN) can fake the captured media streams …
CNN and bidirectional GRU-based heartbeat sound classification architecture for elderly people
Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
Enhanced Parkinson's Disease Diagnosis Through Convolutional Neural Network Models Applied to SPECT DaTSCAN Images
Convolutional Neural Networks (CNNs) are highly regarded in Deep Learning (DL) and
have shown promising results in medical image analysis, making them a leading model for …
have shown promising results in medical image analysis, making them a leading model for …
Convolutional neural network and unmanned aerial vehicle‐based public safety framework for human life protection
In this paper, we developed an object detection and identification framework to bolster
public safety. Before developing the proposed framework, several existing frameworks were …
public safety. Before developing the proposed framework, several existing frameworks were …
Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive …
A Kucerenko, T Buddenkotte, I Apostolova… - European Journal of …, 2024 - Springer
Purpose Deep convolutional neural networks (CNN) hold promise for assisting the
interpretation of dopamine transporter (DAT)-SPECT. For improved communication of …
interpretation of dopamine transporter (DAT)-SPECT. For improved communication of …
Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance
T Budenkotte, I Apostolova, R Opfer, J Krüger… - European Journal of …, 2024 - Springer
Purpose Deep convolutional neural networks (CNN) are promising for automatic
classification of dopamine transporter (DAT)-SPECT images. Reporting the certainty of CNN …
classification of dopamine transporter (DAT)-SPECT images. Reporting the certainty of CNN …
[PDF][PDF] Detection of Parkinson's Disease on DaTSCAN Image Using Multi-kernel Support Vector Machine.
K Paranjothi, F Ghouse, R Vaithiyanathan - International Journal of …, 2024 - inass.org
Parkinson's disease (PD) is a degenerative illness of central nervous system primarily
caused by neuronal degeneration in substantia nigra of the brain. A biomarker for …
caused by neuronal degeneration in substantia nigra of the brain. A biomarker for …
A new hybrid feature reduction method by using MCMSTClustering algorithm with various feature projection methods: a case study on sleep disorder diagnosis
In the machine learning area, having a large number of irrelevant or less relevant features to
the result of the dataset can reduce classification success and run-time performance. For this …
the result of the dataset can reduce classification success and run-time performance. For this …
An Automated Diagnosis of Parkinson's Disease from MRI Scans Based on Enhanced Residual Dense Network with Attention Mechanism
The increasing prevalence of neurodegenerative diseases has recently heightened interest
in research on early diagnosis of these diseases. Parkinson's disease (PD), among the most …
in research on early diagnosis of these diseases. Parkinson's disease (PD), among the most …