GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer’s Disease Diagnosis from MRI
| العنوان: | GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer’s Disease Diagnosis from MRI |
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| المؤلفون: | Swetha Mandava, Ziyue Xu, Jiook Cha, Christopher Forster, Alzheimer’s Disease Neuroimaging Initiative, Sharath Turuvekere Sreenivas, Hoo-Chang Shin, Alvin Ihsani |
| المصدر: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122 MICCAI (2) |
| بيانات النشر: | Springer International Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0303 health sciences, Discriminator, medicine.diagnostic_test, business.industry, Computer science, Pattern recognition, Magnetic resonance imaging, Gold standard (test), Radiation, medicine.disease, Gandalf, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Positron emission tomography, medicine, Artificial intelligence, Alzheimer's disease, business, Image resolution, 030217 neurology & neurosurgery, 030304 developmental biology |
| الوصف: | Positron Emission Tomography (PET) is now regarded as the gold standard for the diagnosis of Alzheimer’s Disease (AD). However, PET imaging can be prohibitive in terms of cost and planning, and is also among the imaging techniques with the highest dosage of radiation. Magnetic Resonance Imaging (MRI), in contrast, is more widely available and provides more flexibility when setting the desired image resolution. |
| ردمك: | 978-3-030-59712-2 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e8e1a7caa619541781e62878003c3ad5 https://doi.org/10.1007/978-3-030-59713-9_66 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........e8e1a7caa619541781e62878003c3ad5 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030597122 |
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