Pancreatic Tumor Segmentation Based on Optimized K-Means Clustering and Saliency Map Model

International Journal of Recent Technology and Engineering - India
doi 10.35940/ijrte.d9429.118419
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Related search

Self-Organizing Map-Based Color Image Segmentation Withk-Means Clustering and Saliency Map

ISRN Signal Processing
2011English

Brain Tumor Segmentation Using Asymmetry Based Histogram Thresholding and K-Means Clustering

International Journal of Research in Engineering and Technology
2014English

Morphlogical Asf and K Means Clustering Segmentation for Tumor Detection

2015English

A Genetic K-Means Clustering Algorithm Based on the Optimized Initial Centers

Computer and Information Science
2011English

Spatial Layout Image Retrieval Based on Fast Image Segmentation Using K-Means Clustering

International Journal of Computer Applications
2012English

Leaf Image Segmentation Based on the Combination of Wavelet Transform and K Means Clustering

International Journal of Advanced Research in Artificial Intelligence
2012English

A Review on Optimized K-Means and FCM Clustering Techniques for Biomedical Image Segmentation Using Level Set Formulation

Biomedical Research
2018English

Nonrigid Registration of Brain Tumor Resection MR Images Based on Joint Saliency Map and Keypoint Clustering

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2009English

BPSO Optimized K-Means Clustering Approach for Data Analysis

International Journal of Computer Applications
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy