A transformer-based unified multimodal framework for Alzheimer's disease assessment
In Alzheimer's disease (AD) assessment, traditional deep learning approaches have often
employed separate methodologies to handle the diverse modalities of input data …
employed separate methodologies to handle the diverse modalities of input data …
Contrast Enhancement-Based Preprocessing Process to Improve Deep Learning Object Task Performance and Results
T Wang, GT Kim, M Kim, J Jang - Applied Sciences, 2023 - mdpi.com
Excessive lighting or sunlight can make it difficult to judge visually. The same goes for
cameras that function like the human eye. In the field of computer vision, object tasks have a …
cameras that function like the human eye. In the field of computer vision, object tasks have a …
A deep recurrent neural network for predicting subject-specific facial soft tissue interaction
Predicting biological soft tissue interaction is of great interest for developing computer-aided
decision systems. This study aims to develop and evaluate a novel deep-learning approach …
decision systems. This study aims to develop and evaluate a novel deep-learning approach …