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Mar 28, 2024 · In this work, we present TLIMB, a Transfer-Learning. Framework for Image Analysis of the Brain. ... centrates on training neural networks for TL- ...
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TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain. Marc-Andre Schulz, Jan Philipp Albrecht, Alpay Yilmaz, Alexander Koch 0007, ...
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Aug 7, 2024 · Deep learning algorithms have been moderately successful in diagnoses of diseases by analyzing medical images especially through ...
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We systematically evaluate TL for the application of DL models to the decoding of cognitive states (eg, viewing images of faces or houses)
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Mar 8, 2022 · In this work, we present a comparative performance analysis of transfer learning-based CNN-pretrained VGG-16, ResNet-50, and Inception-v3 models ...
In this paper, we use brain contrast-enhanced magnetic resonance images (CE-MRI) benchmark dataset to classify three types of brain tumor (glioma, meningioma ...
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(PDF) Deep Transfer Learning For Whole-Brain fMRI Analyses
www.researchgate.net › ... › fMRI Analysis
Jul 2, 2019 · The application of deep learning (DL) models to the decoding of cognitive states from whole-brain functional Magnetic Resonance Imaging (fMRI) ...
Jun 16, 2022 · This study demonstrates a number of deep learning image reconstruction approaches and a comprehensive review of the most widely used different databases.
In this study, we propose a transfer learning base approach to classify various stages of AD. The proposed model can distinguish between normal control (NC), ...
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May 19, 2023 · The main objective of this paper is to establish a complete framework that is based on deep learning approaches and convolutional neural networks (CNN).