GLCM and GLRLM Based Texture Analysis: Application to Brain Cancer Diagnosis Using Histopathology Images-Reference-Cited by-同舟云学术

GLCM and GLRLM Based Texture Analysis: Application to Brain Cancer Diagnosis Using Histopathology Images

Published:2020-09-30 Issue: Volume: Page:691-706
ISSN:2194-5357
Container-title:Intelligent Computing and Applications
language:
Short-container-title:

Author:

Durgamahanthi Vaishali,Anita Christaline J.,Shirly Edward A.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5566-4_61

Reference41 articles.

1. D.C. Cireșan, A. Giusti, L.M. Gambardella, J. Schmidhuber, Mitosis detection in breast cancer histology images with deep neural networks, medical image computing and computer-assisted intervention, in MICCAI 2013. 16th International Conference (Nagoya, Japan)

2. Glioblastomas and Malignant Astrocytomas, American Brain Tumor Association, Publications and Services (2014)

3. C.H. Chen, L.F. Pau, P.S.P. Wang, The Handbook of Pattern Recognition and Computer Vision, 2nd edn. (World Scientific Publishing Co., 1998), pp. 207–248

4. R. Chellappa, Stochastic models in image analysis and processing, Ph.D. thesis, Purdue University, 1981

5. R.M. Haralick, K. Shanmugam, I. Dinstein Texture features for image classification. IEEE Trans. Syst. Man Cybern. SMC-3(6), 610–621

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lung disease prediction based on CT images using REInf-net and world cup optimization based BI-LSTM classification;Network: Computation in Neural Systems;2024-09-09

2. Computer-aided diagnosis system for grading brain tumor using histopathology images based on color and texture features;BMC Medical Imaging;2024-07-19

3. Radiomic biomarkers of locoregional recurrence: prognostic insights from oral cavity squamous cell carcinoma preoperative CT scans;Frontiers in Oncology;2024-04-23

4. A Texture Feature Extraction Method for Breast Cancer Image Based on Improved GLCM;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

5. A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm;Frontiers in Oncology;2024-04-12