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Identification of Pancreaticoduodenectomy Resection for Pancreatic Head Adenocarcinoma: A Preliminary Study of Radiomics
2020
Computational and Mathematical Methods in Medicine
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Setting p≤0.01 in the Mann–Whitney U-test, two features of the run-length matrix, which are derived from diagonal sub-bands in wavelet decomposition, showed statistically significant differences between ...
We conducted a preliminary radiomics study based on preoperative CT (computer tomography) images to evaluate a resection margin which was R0 or R1. Methods. ...
Statistical texture analysis methods are appropriate for this. Multiresolution texture analysis methods perform well in extracting detail features. ...
doi:10.1155/2020/2761627
pmid:32377222
pmcid:PMC7182967
fatcat:qfrtxzlryjgcvb4mriimy7bwgy
Multispectral co-occurrence of wavelet coefficients for malignancy assessment of brain tumors
2021
PLoS ONE
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The effectiveness of the proposed method is analyzed, with respect to six classification performance indices, on BRATS 2012 and BRATS 2014 data sets. ...
The concept of texture gradient, used in the proposed algorithm, fuses the wavelet coefficients of the given MR sequences. ...
In [22] , tumor heterogeneity is evaluated by using texture analysis performed on apparent diffusion coefficient maps. Three features are extracted within the region of interest. ...
doi:10.1371/journal.pone.0250964
pmid:34138852
fatcat:nnashkgqtjefhaq56dqo7vcjam
Classification of Natural Textures using Rule Based Rank Matrix
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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From this, the present paper derived Rule based Rank Word-Cross and Diagonal Texture Matrix (RRW-CDTM) and derives GLCM features for effective texture classification. ...
This paper then divides RRW texture image, into a 3 X 3 grid and derives cross and diagonal rule based rank words. ...
rank position based on peano scan direction. 3) Derivation of RRW matrix. 4) Derivation of cross and diagonal texture matrix by dividing the RRW indexed image into 3 X 3 overlapped windows. ...
doi:10.35940/ijitee.c8839.019320
fatcat:i5tkxwfoozg6nlqyddqciq4nse
Color and cross diagonal symmetric pair co-occurrence matrix
2020
Indian Journal of Science and Technology
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A texture descriptor is derived by considering the relationship: i) between pairs of symmetric cross pixels and ii) between pairs of symmetric diagonal pixels of the 3 x 3 neighborhood. ...
Objectives: The main goal of this study is to derive an efficient feature vector to capture both the color and texture information. This makes the proposed descriptor as a multipurpose descriptor. ...
Conflict of interest No conflict of interest has been declared by the author. ...
doi:10.17485/ijst/v13i27.712
fatcat:oktis556afcr5dl42cbo4api4y
An Image Segmentation Technique -OEM for Plant Leaf Disease
2020
International journal of recent technology and engineering
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homogeneous and computation on the grey level, texture and color component to provide easy image analysis. ...
Furthermore abstraction building has been carried out by the objective function on the matrix for the determine the correlation of the pixel based on the shape and texture interpretation on the image. ...
Figure 2 : 2 Figure 2: Evaluation of the Accuracy The figure 2 indicates performance analysis of image segmentation technique in terms of the accuracy. ...
doi:10.35940/ijrte.e5759.018520
fatcat:c74drmghwvcutjy35cm5u7gx7u
A New Method for Measuring Texture Regularity based on the Intensity of the Pixels in Grayscale Images
2016
International Journal of Computer Applications
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Regularity is measured by the intensity of the pixels of grayscale images in a cross-diagonal position and the intensity of the pixels in an axis-ordinate position. ...
Several methods of measurement have been produced by previous researchers.However, in this paper the authors offer a new formula for calculating the regularity of texture features. ...
This paper proposes a new method for calculating texture regularity based on the intensity of pixels in a diagonal axis matrix and the intensity of the pixels that are parallel to the axis of the coordinates ...
doi:10.5120/ijca2016908805
fatcat:opxahj4wpjagrlmbgr37zeaob4
Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis
2013
IEEE Transactions on Medical Imaging
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To verify the effectiveness and robustness of the proposed texture analysis, breast ultrasound images obtained from three different platforms are evaluated based on cross-platform training/testing and ...
verify the use of the proposed texture analysis. ...
Table V indicates the diagnostic performance of ranklets outperforms the other two methods in most of the evaluations which shows the efficacy for tumor diagnosis while applying texture analysis via ranklet ...
doi:10.1109/tmi.2013.2279938
pmid:24001985
fatcat:vu5ppotjbzbyvhadr4i5ytlewi
Multi-resolution intrinsic texture geometry based local binary pattern for texture classification
2020
IEEE Access
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The magnitude information of the Hessian matrix is used in the ACS-LBP method. A cross-scale joint coding strategy is used to construct Hess-ACS-LBP descriptor. ...
Especially, the performance of the proposed method on ALOT and STex datasets containing many classes is remarkable. ...
Since the Hessian matrix is calculated for different σ values, a multi-scale analysis of the texture image is performed. ...
doi:10.1109/access.2020.2981720
fatcat:eqoxqfrbmbaxbdwkonlqmzl7ya
Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network
1997
Physics in Medicine and Biology
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Thirteen texture measures were extracted from each SGLD matrix. ...
The performance of the ANN was analysed with receiver operating characteristic (ROC) methodology. ...
We performed a limited study using the cross-validation method and compared the results with the leave-one-out method. ...
doi:10.1088/0031-9155/42/3/008
pmid:9080535
fatcat:vlj6pejffje33lo2xhfiy5zhvq
Face Recognition based on Cross Diagonal Complete Motif Matrix
2018
International Journal of Image Graphics and Signal Processing
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The GLCM features are derived on cross diagonal complete Motifs texture matrix for efficient face recognition. ...
This paper derived cross diagonal complete Motifs matrix (CD-CMM) that has relative frequencies of cross and diagonal complete Motifs. ...
,CD-CMM combines the merits of both complete motifs matrix, LBP and GLCM methods of texture analysis Copyright © 2018 MECS I.J. ...
doi:10.5815/ijigsp.2018.03.07
fatcat:2yud5st2krhdfhenqdtgla3qdm
Texture Analysis Experiments with Meastex and Vistex Benchmarks
[chapter]
2001
Lecture Notes in Computer Science
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The analysis of texture in images is an important area of study. ...
In this paper we compare five different texture analysis methods on these benchmarks in terms of their recognition ability. ...
Texture Benchmarks Performance evaluation of texture analysis algorithms is of fundamental importance in image analysis. ...
doi:10.1007/3-540-44732-6_43
fatcat:5ctv2ddksrbltl564qsubgginy
Texture classification using a polymer-based MEMS tactile sensor
2005
Journal of Micromechanics and Microengineering
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The final result analyzed using leave-one-out cross validation yields acceptable overall performance of 68% correct classification. ...
Directions for future work to improve identification performance of the system are also presented. ...
Acknowledgments The authors acknowledge the financial support of the National Science Foundation (NSF IIS 00-80639). ...
doi:10.1088/0960-1317/15/5/003
fatcat:zzm7hxvyjnaxdkis6af3izgydy
A New Approach for Texture Classification Based on Average Fuzzy Left Right Texture Unit Approach
2012
International Journal of Image Graphics and Signal Processing
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Based on the concept of texture unit, this paper describes a new statistical approach to texture analysis, based on average of the both fuzzy left and right texture unit matrix. ...
Classification performance is compared with the various fuzzy based texture classification methods. The results demonstrate that superior performance is achieved by the proposed method. ...
Ananta Lakshmi for her invaluable suggestions which led to improvise the presentation quality of this paper ...
doi:10.5815/ijigsp.2012.12.08
fatcat:euoiabs7efabnkalug3ruhrb3y
Statistical model and local binary pattern based texture feature extraction in dual-tree complex wavelet transform domain
2017
Multidimensional systems and signal processing
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The first algorithm is based on the extraction of images second-order textural statistics utilizing gray level cooccurrence matrix in spatial domain. ...
One of the most important structural components of computer vision is the feature extraction method. ...
Class determination of the testing sample using KNN method [30] .
Performance Evaluation of the Distress Images Classification. ...
doi:10.1007/s11045-017-0474-z
fatcat:3msu7pqclna6vdemgafxiie7oe
Ensemble Discrete Wavelet Transform and Gray-Level Co-Occurrence Matrix for Microcalcification Cluster Classification in Digital Mammography
2019
Applied Sciences
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The proposed method was evaluated in cross-validation and performed highly in the prediction of the benign/malignant ROIs, with a mean AUC value of 97 . 39 ± 0 . 01 % . ...
On the decomposition, a textural features extraction step was carried out both on each sub-image and on the corresponding gray-level co-occurrence matrix. ...
Gray-Level Co-Occurrence Matrix A further step towards the texture analysis was carried out by considering the spatial relationship of pixels in the ROIs by using the GLCM method [23] , a widely used ...
doi:10.3390/app9245388
fatcat:fwmblqm2rjb55ncoqfjblyxtaq
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