Multiclass histology image retrieval, classification using Riesz transform and local binary pattern features-Reference-Cited by-同舟云学术

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Multiclass histology image retrieval, classification using Riesz transform and local binary pattern features

Published:2020-05-13 Issue:6 Volume:8 Page:595-607
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Yazdi Mehran¹^ORCID,Erfankhah Hamed¹

Affiliation:

1. Faculty of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

Funder

financial and personal relationships with other people or organisations that could inappropriately

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2020.1761885

Reference41 articles.

1. Face Description with Local Binary Patterns: Application to Face Recognition

2. Comparing LBP, HOG and Deep Features for Classification of Histopathology Images

3. Classification and Retrieval of Digital Pathology Scans: A New Dataset

4. Speeded-Up Robust Features (SURF)

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