Automatic Fast Fuzzy Clustering Algorithm for Nucleus Segmentation of Color Pathology Images-Reference-Cited by-同舟云学术

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Automatic Fast Fuzzy Clustering Algorithm for Nucleus Segmentation of Color Pathology Images

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th India Council International Conference (INDICON)
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Author:

Das Arunita¹,Namtirtha Amrita²,Dutta Animesh³

Affiliation:

1. Midnapore College (Autonomous),Dept. of Computer Sc. & Application,Midnapore,West Bengal,India,721101

2. JIS College of Engineering,Dept. of Computer Sc. & Engineering,Kalyani Nadia,India,741235

3. National Institute of Technology,Dept. of Computer Sc.& Engineering,Durgapur,West Bengal,India,713209

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038981/10039721/10039694.pdf?arnumber=10039694

Reference28 articles.

1. Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

2. A robust clustering algorithm using spatial fuzzy C-means for brain MR images

3. CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm

4. Improved Superpixel-Based Fast Fuzzy C-Means Clustering for Image Segmentation

5. BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises

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