Quantitative imaging of cancer in the postgenomic era: Radio (geno) mics, deep learning, and habitats
Although cancer often is referred to as “a disease of the genes,” it is indisputable that the
(epi) genetic properties of individual cancer cells are highly variable, even within the same …
(epi) genetic properties of individual cancer cells are highly variable, even within the same …
Brain segmentation and white matter lesion detection in MR images.
AP Zijdenbos, BM Dawant - Critical reviews in biomedical …, 1994 - europepmc.org
This paper presents a review of methods and techniques that have been proposed for the
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …
Automated segmentation of MR images of brain tumors
An automated brain tumor segmentation method was developed and validated against
manual segmentation with three-dimensional magnetic resonance images in 20 patients …
manual segmentation with three-dimensional magnetic resonance images in 20 patients …
Correction of intensity variations in MR images for computer-aided tissue classification
BM Dawant, AP Zijdenbos… - IEEE transactions on …, 1993 - ieeexplore.ieee.org
A number of supervised and unsupervised pattern recognition techniques have been
proposed in recent years for the segmentation and the quantitative analysis of MR images …
proposed in recent years for the segmentation and the quantitative analysis of MR images …
Detection of prostate cancer by integration of line‐scan diffusion, T2‐mapping and T2‐weighted magnetic resonance imaging; a multichannel statistical classifier
I Chan, W Wells III, RV Mulkern, S Haker… - Medical …, 2003 - Wiley Online Library
A multichannel statistical classifier for detecting prostate cancer was developed and
validated by combining information from three different magnetic resonance (MR) …
validated by combining information from three different magnetic resonance (MR) …
Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study
This work presents an investigation of the potential of artificial neural networks for
classification of registered magnetic resonance and X-ray computer tomography images of …
classification of registered magnetic resonance and X-ray computer tomography images of …
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
Understanding structure–function relationships in the brain after stroke is reliant not only on
the accurate anatomical delineation of the focal ischemic lesion, but also on previous …
the accurate anatomical delineation of the focal ischemic lesion, but also on previous …
Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images
M Kamber, R Shinghal, DL Collins… - IEEE transactions on …, 1995 - ieeexplore.ieee.org
Human investigators instinctively segment medical images into their anatomical
components, drawing upon prior knowledge of anatomy to overcome image artifacts, noise …
components, drawing upon prior knowledge of anatomy to overcome image artifacts, noise …
Optimization neural networks for the segmentation of magnetic resonance images
SC Amartur, D Piraino, Y Takefuji - IEEE Transactions on …, 1992 - ieeexplore.ieee.org
The application of the Hopfield neural network for the multispectral unsupervised
classification of MR images is reported. Winner-take-all neurons were used to obtain a crisp …
classification of MR images is reported. Winner-take-all neurons were used to obtain a crisp …
Slowed orienting of covert visual-spatial attention in autism: Specific deficits associated with cerebellar and parietal abnormality
J Townsend, E Courchesne, B Egaas - Development and …, 1996 - cambridge.org
The most commonly reported finding from structural brain studies in autism is abnormality of
the cerebellum. Autopsy and magnetic resonance imaging (MR) studies from nine …
the cerebellum. Autopsy and magnetic resonance imaging (MR) studies from nine …