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MRI Brain Image Segmentation by Adaptive Spatial Deterministic Annealing Clustering

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0730-725x(94)00124-lopenalex-snapshot
MRI segmentation: Methods and applications
inferredcites →https://doi.org/10.1049/ip-vis:20000218openalex-snapshot
Fuzzy image clustering incorporating spatial continuity
inferredcites →https://doi.org/10.1109/42.712135openalex-snapshot
Design and construction of a realistic digital brain phantom
inferredcites →https://doi.org/10.1109/5.726788openalex-snapshot
Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
inferredcites →https://doi.org/10.1109/cvpr.1999.786947openalex-snapshot
Bias field estimation and adaptive segmentation of MRI data using a modified fuzzy C-means algorithm
inferredcites →https://doi.org/10.1109/iembs.1998.747137openalex-snapshot
Modified fuzzy c-mean in medical image segmentation
inferredcites →https://doi.org/10.1109/tpami.2003.1240112openalex-snapshot
Hidden Markov measure field models for image segmentation
inferredcites →https://doi.org/10.1146/annurev.bioeng.2.1.315openalex-snapshot
Current Methods in Medical Image Segmentation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.1334282openalex-extracted
Color Image Segmentation Using Adaptive Spatial Gaussian Mixture Model
inferred← citeshttps://doi.org/10.1007/s11265-008-0243-1openalex-snapshot
A Scalable Framework For Segmenting Magnetic Resonance Images
inferred← citeshttps://doi.org/10.1080/10798587.2016.1231472openalex-snapshot
MRI Brain Image Segmentation Using Enhanced Adaptive Fuzzy K-Means Algorithm
inferred← citeshttps://doi.org/10.1109/isiea.2014.8049872openalex-snapshot
Segmentation of brain MRI image based on clustering algorithm
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