Cargando…
Multispectral co-occurrence of wavelet coefficients for malignancy assessment of brain tumors
Brain tumor is not most common, but truculent type of cancer. Therefore, correct prediction of its aggressiveness nature at an early stage would influence the treatment strategy. Although several diagnostic methods based on different modalities exist, a pre-operative method for determining tumor mal...
Autores principales: | Roy, Shaswati, Maji, Pradipta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211259/ https://www.ncbi.nlm.nih.gov/pubmed/34138852 http://dx.doi.org/10.1371/journal.pone.0250964 |
Ejemplares similares
-
Rough-Fuzzy Clustering and Unsupervised Feature Selection for Wavelet Based MR Image Segmentation
por: Maji, Pradipta, et al.
Publicado: (2015) -
Disentangling Multispectral Functional Connectivity With Wavelets
por: Billings, Jacob C. W., et al.
Publicado: (2018) -
Capturing spike train temporal pattern with wavelet average coefficient for brain machine interface
por: Wen, Shixian, et al.
Publicado: (2021) -
Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices
por: Zhang, Yu, et al.
Publicado: (2019) -
Improving Image Quality in Medical Images Using a Combined Method of Undecimated Wavelet Transform and Wavelet Coefficient Mapping
por: Tsai, Du-Yih, et al.
Publicado: (2013)