Amanote Research

Amanote Research

    RegisterSign In

LBP Operators on Curvelet Coefficients as an Algorithm to Describe Texture in Breast Cancer Tissues

Expert Systems with Applications - United Kingdom
doi 10.1016/j.eswa.2016.02.019
Full Text
Open PDF
Abstract

Available in full text

Categories
EngineeringComputer Science ApplicationsArtificial Intelligence
Date

August 1, 2016

Authors
Daniel O. Tambasco BrunoMarcelo Z. do NascimentoRodrigo P. RamosValério R. BatistaLeandro A. NevesAlessandro S. Martins
Publisher

Elsevier BV


Related search

Curvelet-Based Texture Classification of Tissues in Computed Tomography

2006English

Texture Characterization Using a Curvelet Based Descriptor

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Research on Image Retrieval Algorithm Based on LBP and LSH

2017English

miRNA Expression in Advanced Algerian Breast Cancer Tissues

PLoS ONE
Multidisciplinary
2020English

Metformin as an Adjuvant in Breast Cancer Treatment

SAGE Open Medicine
Medicine
2019English

Modified Curvelet Thresholding Algorithm for Image Denoising

Journal of Computer Science
Computer NetworksSoftwareArtificial IntelligenceCommunications
2010English

An Improved Infrared and Visible Image Fusion Algorithm Based on the Second Generation Curvelet Transform

2014English

Proteomics Comparison of Breast Cancer With Adjacent Normal Tissues in Women With Breast Cancer

Journal of Ilam University of Medical Sciences
2018English

Some Remarks an Interpolation of Operators and Fourier Coefficients

Studia Mathematica
Mathematics
1972English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy