Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis
Thyroid cancer is an increasing global health concern that requires advanced diagnostic
methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this …
methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this …
Assessment for Alzheimer's Disease Advancement Using Classification Models with Rules
F Thabtah, D Peebles - Applied Sciences, 2023 - mdpi.com
Pre-diagnosis of common dementia conditions such as Alzheimer's disease (AD) in the
initial stages is crucial to help in early intervention, treatment plan design, disease …
initial stages is crucial to help in early intervention, treatment plan design, disease …
[HTML][HTML] Comprehensive Data Augmentation Approach Using WGAN-GP and UMAP for Enhancing Alzheimer's Disease Diagnosis
E Yuda, T Ando, I Kaneko, Y Yoshida, D Hirahara - Electronics, 2024 - mdpi.com
In this study, the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-
GP) was used to improve the diagnosis of Alzheimer's disease using medical imaging and …
GP) was used to improve the diagnosis of Alzheimer's disease using medical imaging and …
Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach
S Yang, Z Wang, C Wang, C Li, B Wang - Journal of Cancer, 2024 - pmc.ncbi.nlm.nih.gov
Objective: Triple-negative breast cancer (TNBC) poses significant diagnostic challenges due
to its aggressive nature. This research develops an innovative deep learning (DL) model …
to its aggressive nature. This research develops an innovative deep learning (DL) model …
[HTML][HTML] 人工智能在阿尔茨海默病临床诊疗中的研究热点及前沿趋势分析
余如霞， 姜婧， 王湫澄， 王越， 赵小月 - 中国全科医学, 2024 - chinagp.net
背景目前, 人工智能应用于阿尔茨海默病(AD) 领域的研究论文数量增幅较大,
明确该领域最新研究热点和未来发展趋势十分重要. 目的通过应用文献计量学分析 …
明确该领域最新研究热点和未来发展趋势十分重要. 目的通过应用文献计量学分析 …
An intelligent magnetic resonance imagining-based multistage Alzheimer's disease classification using swish-convolutional neural networks
K Kalirajan - Medical & Biological Engineering & Computing, 2024 - Springer
Alzheimer's disease (AD) refers to a neurological disorder that causes damage to brain cells
and results in decreasing cognitive abilities and memory. In brain scans, this degeneration …
and results in decreasing cognitive abilities and memory. In brain scans, this degeneration …
[图书][B] Basics of Image Processing: The Facts and Challenges of Data Harmonization to Improve Radiomics Reproducibility
Á Alberich-Bayarri, F Bellvís-Bataller - 2023 - books.google.com
This book, endorsed by EuSoMii, provides clinicians, researchers and scientists a useful
handbook to navigate the intricate landscape of data harmonization, as we embark on a …
handbook to navigate the intricate landscape of data harmonization, as we embark on a …
Support vector machine method for classifying severity of Alzheimer's based on hippocampus object using magnetic resonance imaging modalities.
R Supriyanti, AP Riyanto… - … Journal of Electrical …, 2024 - search.ebscohost.com
Alzheimer's disease is a degenerative brain condition that causes progressive decline in
several aspects. Starting from memory, cognitive or thinking abilities, speaking abilities, and …
several aspects. Starting from memory, cognitive or thinking abilities, speaking abilities, and …
Harmonization in the Image Domain
F Garcia-Castro, E Ibor-Crespo - Basics of Image Processing: The Facts …, 2024 - Springer
Performance of radiomics models based on medical imaging can be severely impacted by
the quality and variability of the available image data set. The acquisition protocol is one of …
the quality and variability of the available image data set. The acquisition protocol is one of …
Development of Machine Learning Model for Detection and Diagnosis of Alzheimer's disease. A Comprehensive Review
SS Khan, S Patil - 2023 IEEE International Conference on ICT …, 2023 - ieeexplore.ieee.org
New techniques of detection and diagnosis are needed for Alzheimer's disease (AD) is a
major concern for society's health. Machine learning (ML) has been identified as a viable …
major concern for society's health. Machine learning (ML) has been identified as a viable …