The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects

• Published in: Human brain mapping Vol. 43; no. 11; pp. 3427 - 3438
• Main Authors: Balboni, Erica, Nocetti, Luca, Carbone, Chiara, Dinsdale, Nicola, Genovese, Maurilio, Guidi, Gabriele, Malagoli, Marcella, Chiari, Annalisa, Namburete, Ana I. L., Jenkinson, Mark, Zamboni, Giovanna
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.08.2022
• Subjects: Abnormalities; Alzheimer disease; Alzheimer's disease; Artificial neural networks; Biomarkers; Cognitive ability; Datasets; Deep learning; Domains; Hippocampus; Image processing; Image segmentation; Impairment; Magnetic resonance imaging; Medical imaging; mild cognitive impairment; Neural networks; Neurodegenerative diseases; Training; Transfer learning; deep learning; transfer learning; magnetic resonance imaging; hippocampus; Alzheimer disease; neural networks; mild cognitive impairment
• ISSN: 1065-9471; 1097-0193; 1097-0193
• DOI: 10.1002/hbm.25858

Research on segmentation of the hippocampus in magnetic resonance images through deep learning convolutional neural networks (CNNs) shows promising results, suggesting that these methods can identify small structural abnormalities of the hippocampus, which are among the earliest and most frequent br...