A comparative study: prediction of parkinson's disease using machine learning, deep learning and nature inspired algorithm
Parkinson's Disease (PD) is a degenerative and progressive neurological disorder worsens
over time. This disease initially affects people over 55 years old. Patients with PD often …
over time. This disease initially affects people over 55 years old. Patients with PD often …
[HTML][HTML] MGA-Net: A novel mask-guided attention neural network for precision neonatal brain imaging
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers
Alzheimer's disease (AD), characterized by progressive cognitive decline and memory loss,
presents a formidable global health challenge, underscoring the critical importance of early …
presents a formidable global health challenge, underscoring the critical importance of early …
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image Preprocessing
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
Enhancing Shift-Invariance for Accurate Brain MRI Skull-Stripping using Adaptive Polyphase Pooling in Modified U-Net
A Padalia, T Shah, P Pujari… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Image segmentation is an essential aspect of image processing, where regions of interest
(ROI) are identified by employing feature descriptors like edges, color, and texture. Medical …
(ROI) are identified by employing feature descriptors like edges, color, and texture. Medical …
Gray Matter and White Matter-Based Brain Age Prediction Model Using Multi-MRI Datasets
SJ Lee, M Lee, HJ Yang - Annual Conference of KIPS, 2024 - koreascience.kr
뇌 연령은 신경퇴행성 질환과 인지 저하를 예측하는 중요한 바이오마커로 주목받고 있으며,
이를 통해 개인의 뇌 건강 상태를 보다 정밀하게 확인할 수 있다. 특히, 회백질과 백질은 뇌 …
이를 통해 개인의 뇌 건강 상태를 보다 정밀하게 확인할 수 있다. 특히, 회백질과 백질은 뇌 …