Segmentation of brain parenchyma and cerebrospinal fluid in multispectral magnetic resonance images

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An overview of deep learning in medical imaging focusing on MRI (2018, methodology): “In this early era, we also had the opportunity to contribute with supervised and unsupervised machine learning approaches for MR image segmentation and tissue classification [250, 251, 252, 253].”
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images (2001, methodology): “Fuzzy c-means (FCM) clustering is a widely used clustering method, since it does not require training data and is therefore operator independent [3], [9], [24], [16], [36].”
A comparative study of deformable contour methods on medical image segmentation (2008, methodology): “We did not consider other methods incorporating with the a priori knowledge of object shape [15–17,21], random process [12–14], or human interaction [48,49] in the contour deformation processes because they are generally application specific and cannot be compared fairly.”