التفاصيل البيبلوغرافية
| العنوان: |
Comparative performance analysis of the proposed multispectral co-occurrence matrix and multi-scale GLCM based methods using ten-fold cross-validation. |
| المؤلفون: |
Shaswati Roy (718270), Pradipta Maji (718269) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Cell Biology, Biotechnology, Cancer, Plant Biology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, support vector machine, co-occurrence, tumor malignancy state, method, FLAIR, wavelet fusion technique, classification performance indices, texture information content, wavelet coefficients, MR sequences, brain tumors Brain tumor, BRATS 2014 data sets, multiresolution image analysis, brain MR data |
| الوصف: |
Comparative performance analysis of the proposed multispectral co-occurrence matrix and multi-scale GLCM based methods using ten-fold cross-validation. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Comparative_performance_analysis_of_the_proposed_multispectral_co-occurrence_matrix_and_multi-scale_GLCM_based_methods_using_ten-fold_cross-validation_/14799654 |
| DOI: |
10.1371/journal.pone.0250964.g013 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0250964.g013 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.4BD5F7F8 |
| قاعدة البيانات: |
BASE |