SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data
Diffusion tensor imaging (DTI) is a non-invasive technique for analyzing the movement of
water in the brain. However, the precision of measurements required for tracking white …
water in the brain. However, the precision of measurements required for tracking white …
Deep Learning Framework using Sparse Diffusion MRI for Diagnosis of Frontotemporal Dementia
Frontotemporal dementia (FTD) is a devastating neurodegenerative disorder that primarily
affects the frontal and temporal lobes of the brain, leading to cognitive decline and …
affects the frontal and temporal lobes of the brain, leading to cognitive decline and …
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures
Alzheimer disease is one of the most common neuro-degenerative diseases, with an
estimated 6.2 million cases in the United States. This research article investigates the …
estimated 6.2 million cases in the United States. This research article investigates the …
[HTML][HTML] Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis
Y Chawki, K Elasnaoui, M Ouhda - AIMS Electronics and Electrical …, 2024 - aimspress.com
During the COVID-19 pandemic, it was crucial for the healthcare sector to detect and classify
the virus using X-ray and CT scans. This has underlined the need for advanced Deep …
the virus using X-ray and CT scans. This has underlined the need for advanced Deep …