Deep learning for computer-aided diagnosis from images

Contenu

Deep learning for computer-aided diagnosis from images¶

For more information on Alzheimer’s disease and CNNs for image classification, you can check out our Deep learning classification from brain MRI: Application to Alzheimer’s disease tutorial.

Medical image synthesis with deep learning¶

External resources¶

Alzheimer’s disease¶

Clinical context¶

Alzheimer’s association
Advances in Alzheimer’s Disease: Imaging and Biomarker Research (Video by Dr Philip Scheltens)
Imaging biomarkers in Alzheimer’s disease (Book chapter by Dr Carole Sudre et al.)

Public datasets¶

Deep learning¶

Courses¶

Introduction to Deep Learning by MIT
Deep Learning by Andrew Ng
Convolutional Neural Networks for Visual Recognition by Stanford University

Books¶

Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Deep Learning with Python by François Chollet
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

Convolutional neural networks¶

Generative models¶

Recurrent neural networks¶

Software¶

Neuroimaging¶

FreeSurfer: An open source software suite for processing and analyzing (human) brain MRI images
Statistical Parametric Mapping: Analysis of Brain Imaging Data Sequences
FMRIB Software Library: A fMRI, MRI and DTI analysis software]
Nipype: Neuroimaging in Python - Pipelines and Interfaces
BIDS Apps: Portable neuroimaging pipelines that understand BIDS datasets
Clinica: A software platform for clinical neuroimaging studies

Data analysis¶

PyTorch: An Imperative Style, High-Performance Deep Learning Library
TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems
scikit-learn: Machine Learning in Python
Clinica: A software platform for clinical neuroimaging studies
ClinicaDL: A framework for the reproducible classification of Alzheimer’s disease using deep learning

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0. Classification of Alzheimer’s disease diagnosis