Adaptive fuzzy‐region growing fusion and improved <scp>CNN‐ANFIS</scp> ‐based automated segmentation and classification of cervical cancer-Reference-Cited by-同舟云学术

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Adaptive fuzzy‐region growing fusion and improved CNN‐ANFIS ‐based automated segmentation and classification of cervical cancer

Published:2022-12-12 Issue:3 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

J. Jeyshri¹^ORCID,M. Kowsigan²^ORCID

Affiliation:

1. Department of Computing Technologies, College of Engineering and Technology SRM Institute of Science and Technology Chengalpattu Tamil Nadu India

2. Department of Computer Technologies, College of Engineering and Technology SRM Institute of Science and Technology Chengalpattu Tamil Nadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7493

Reference56 articles.

1. Automatic Classification of Cervical Cells Using Deep Learning Method

2. Segmentation and Classification of Cervical Cells Using Deep Learning

3. Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

4. MDFI: Multi-CNN Decision Feature Integration for Diagnosis of Cervical Precancerous Lesions

5. Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks

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