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Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT [chapter]

Dorota Duda, Marek Krętowski, Johanne Bézy-Wendling
2004 Lecture Notes in Computer Science  
A new approach to the hepatic primary tumor recognition from dynamic CT images is proposed.  ...  In the first step of the proposed method, texture features are extracted from manually traced ROI-s to objectively characterize lesions. The second step consists in applying decision tree classifier.  ...  In the paper texture-based classification of hepatic lesions from CT images is investigated. So far, the proposed diagnostic systems, which combine texture analysis with classification methods (e.g.  ... 
doi:10.1007/978-3-540-30136-3_133 fatcat:z354el45njd3zaxpfkd4emvubm

A SURVEY ON CLASSIFICATION OF LIVER TUMOUR FROM ABDOMINAL COMPUTED TOMOGRAPHY USING MACHINE LEARNING TECHNIQUES

Gunasundari S, Swetha R
2021 EPRA international journal of research & development  
Pattern recognition is a significant area of research in medicine because many applications like diagnostic system benefit from it.  ...  Several state of art techniques are compared based on performance measures such as accuracy, sensitivity, specificity. Finally, challenges are also highlighted for possible future work.  ...  Mougiakakou et al (2003) proposed a CAD system based on texture features and a multiple classification scheme for the characterization of four types of hepatic tissue from CT images has been presented  ... 
doi:10.36713/epra6570 fatcat:g3ln7us6knds3ey3ofeo4kdlra

IMAGING DIFFERENTIATION OF MALIGNANT HEPATIC TUMORS: RADIOMICS AND METABOLIC FEATURES OF 18F-FDG PET/CT

M.A. Mahmoud, Department of Radiology, National Liver Institute, Menoufia University, M. Shihab, SS Saad, F. Elhussiny, M. Houseni, Department of Physics, Faculty of science, Tanta University, Department of Physics, Faculty of science, Tanta University, Department of Physics, Faculty of science, Tanta University, Department of Radiology, National Liver Institute, Menoufia University
2021 Russian Electronic Journal of Radiology  
To study the potential of metabolic and radiomics parameters of 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) in the classification of malignant hepatic lesions including  ...  Radiomics features in addition to metabolic parameters and shape indices from FDG-PET/CT studies may be of value in characterizing different malignant hepatic tumors.  ...  Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme, 2009. 32. Zhang J., Huang Z., Cao L., Zhang Z., Wei Y., Zhang X., Song B.  ... 
doi:10.21569/2222-7415-2021-11-2-165-170 fatcat:uil3ypp47fheles7uqjg4si4oa

Computer-Aided Diagnosis of Liver Tumors Based on Multi-Image Texture Analysis of Contrast-Enhanced CT. Selection of the Most Appropriate Texture Features

Dorota Duda, Marek Krętowski, Johanne Bézy-Wendling
2013 Studies in Logic, Grammar and Rhetoric  
In this work, a system for the classification of liver dynamic contest- enhanced CT images is presented.  ...  At first, the texture features are extracted separately for each acquisition mo- ment. Afterwards, they are united in one "multiphase" vector, characterizing a triplet of textures.  ...  This work was supported by the grant S/WI/2/2013 from Bialystok University of Technology.  ... 
doi:10.2478/slgr-2013-0039 fatcat:xwtpeio3sbauhkwrxbgmoh3m4e

Characterization of Hepatocellular Carcinoma (HCC) in CT Images using Texture Analysis Technique

2016 International Journal of Science and Research (IJSR)  
This study was aimed to use the texture analysis and classification methods to characterize the hepatocellular carcinoma (HCC), liver and other abdominal regions in CT images using image processing program  ...  A new approach to texture characterization from dynamic CT scans of the liver is presented.  ...  Computed Tomography (CT) in now a widely applied tool for diagnosis of hepatic tumors.  ... 
doi:10.21275/v5i1.nov152904 fatcat:7q6nqhcc6fgkdk5juu5u2bp2vm

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning [article]

Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020 arXiv   pre-print
Our system comprises four sequential processes of tumor proposal detection, tumor harvesting, primary tumor site selection, and deep texture-based tumor characterization.  ...  Apart from demonstrating the benefits of our data curation approach and physician-inspired workflow, these results also indicate that analyzing texture features, instead of standard object-based analysis  ...  Deep Dynamic Texture based Tumor Classification With the primary lesion ROIs localized and filtered using the KSF of Sec.  ... 
arXiv:2006.15691v2 fatcat:rqgpqv46ingoncrmvatpilhv7i

Complementary Role of Computed Tomography Texture Analysis for Differentiation of Hepatocellular Carcinoma from Intrahepatic Peripheral Cholangiocellular Carcinoma on Single Portal-Venous Phase Computed Tomography

Kaspar Ekert
2021 Biomedical Journal of Scientific & Technical Research  
Additionally, a tumor-to-liver ratio was calculated using ROIs set in the same position as for CT-textural analysis.  ...  (CECT) for primary staging, were evaluated in this study.  ...  Based on different textural features, differences in tumor attenuation as well as tumor heterogeneity, including those derived from the vascular network, are quantifiable and thus potentially beneficial  ... 
doi:10.26717/bjstr.2021.33.005392 fatcat:hnczzqh3s5bn3nl6p7mxxnslgm

Study on Segmentation and Liver Tumor Detection Methods

Anil B C, Dr Dayananda P
2018 International Journal of Engineering & Technology  
In this paper, study is done on different methods of liver region and tumour segmentation of abdominal CT scan to analyze liver tumor and detection of early stage of the tumor  ...  Detection of cancer at its initial stages is very difficult with the help of pathological information's, so as any added support CAD systems using CT scan images are being designed from few decades in  ...  A Computer-Aided Diagnosis of Liver Tumors Based on Multi-Image Texture Analysis of Contrast-Enhanced CT.  ... 
doi:10.14419/ijet.v7i3.4.14670 fatcat:lly4jabikrbtznnqvwtio7c77a

Detecting Hcc Tumor In Three Phasic Ct Liver Images With Optimization Of Neural Network

Mahdieh Khalilinezhad, Silvana Dellepiane, Gianni Vernazza
2015 Zenodo  
Our results demonstrate that for detecting HCC tumor phase 3 is the best one in most of the features that we apply to the classification algorithm.  ...  The aim of this work is to build a model based on tissue characterization that is able to discriminate pathological and non-pathological regions from three-phasic CT images.  ...  ACKNOWLEDGMENT We would like to express our thankful from Doctor Giuseppe Russo Radiology specialist for helping us to detect tumor part and healthy part in the images and gives us medical information  ... 
doi:10.5281/zenodo.1099857 fatcat:x3azelnem5fzrjhvipxybjxyqu

Content-based image retrieval of multiphase CT images for focal liver lesion characterization

Yanling Chi, Jiayin Zhou, Sudhakar K. Venkatesh, Qi Tian, Jimin Liu
2013 Medical Physics (Lancaster)  
Conclusions: Multiphase CT images can be used in content-based image retrieval for FLL's categorization and result in good performance in comparison with single-phase CT images.  ...  Then, it extracts the multiphase density and texture features to numerically represent the FLL.  ...  Tiffany Hennedige, Department of Diagnostic Imaging, National University Hospital, Singapore, for her great help on data collection.  ... 
doi:10.1118/1.4820539 pmid:24089935 fatcat:x2uyq5blkrdlxkogj3l4w64m5u

"Aggressive Resection of Perihilar Cholangiocarcinoma: A Case Report and Literature Review"

Xiangcheng Li
2021 Biomedical Journal of Scientific & Technical Research  
And the recommended treatment is resection-based-multidisciplinary treatment. Now we present a case of perihilar cholangiocarcinoma.  ...  Although the diagnostic accuracy of both computed tomography and magnetic resonance imaging have improved, histopathology can give the definitive diagnosis.  ...  A lump in the caudate lobe of the liver can be palpable, about 3*2cm in size, with a hard texture, involving the bifurcation of the left and right hepatic ducts, and involving the right hepatic duct.  ... 
doi:10.26717/bjstr.2021.36.005785 fatcat:vfuy5nmv4ba3fpufqafpywqlxi

Three-Dimensional CT Texture Analysis to Differentiate Colorectal Signet-Ring Cell Carcinoma and Adenocarcinoma

Yali Yue, Feixiang Hu, Tingdan Hu, Yiqun Sun, Tong Tong, Yajia Gu
2019 Cancer Management and Research  
CT texture features were quantified on portal phase images using three-dimensional analysis. A list of texture parameters was generated with MaZda software for the classification of tumors.  ...  The objective of this research was to validate the diagnostic value of three-dimensional texture parameters and clinical characteristics in the differentiation of colorectal signet-ring cell carcinoma  ...  Disclosure The authors report no conflicts of interest in this work.  ... 
doi:10.2147/cmar.s233595 pmid:31997883 pmcid:PMC6918095 fatcat:vfybaquymbcphokuqopilmt4gq

Noninvasive imaging of hepatocellular carcinoma: From diagnosis to prognosis

Han-Yu Jiang, Jie Chen, Chun-Chao Xia, Li-Kun Cao, Ting Duan, Bin Song
2018 World Journal of Gastroenterology  
Development of prediction model comprising serological, imaging, texture, and radiogenomic parameters may facilitate preoperative evaluation of tumor recurrence and patient survival.  ...  In addition, evaluation of tumor imaging characteristics, including nodule size, margin, number, vascular invasion, and growth patterns, allows preoperative prediction of tumor microvascular invasion and  ...  STAGING OF HCC Several staging systems based on dynamic contrastenhanced multiphasic CT and MRI have been developed for HCC.  ... 
doi:10.3748/wjg.v24.i22.2348 pmid:29904242 pmcid:PMC6000290 fatcat:qckrp2katrfxloky5tavtvmxgm

A Machine Learning Model to Predict Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization

Ali Morshid, Khaled M. Elsayes, Ahmed M. Khalaf, Mohab M. Elmohr, Justin Yu, Ahmed O. Kaseb, Manal Hassan, Armeen Mahvash, Zhihui Wang, John D. Hazle, David Fuentes
2019 Radiology: Artificial Intelligence  
The primary clinical endpoint was time to progression (TTP) based on follow-up CT radiological criteria (mRECIST).  ...  Shape image features of the tumor and background liver were the dominant features correlated to the TTP as selected by the Boruta method and were used to predict the outcome.  ...  Acknowledgments This work was supported in part by the _____.  ... 
doi:10.1148/ryai.2019180021 pmid:31858078 pmcid:PMC6920060 fatcat:sn6vvdhaanhbhcviqpw5z4nxaa

Advances in liver US, CT, and MRI: moving toward the future

Federica Vernuccio, Roberto Cannella, Tommaso Vincenzo Bartolotta, Massimo Galia, An Tang, Giuseppe Brancatelli
2021 European Radiology Experimental  
for hepatitis C.  ...  Recent developments provided new tools for diagnosis and monitoring of liver diseases based on ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI), as applied for assessing  ...  Jean-Charles Bijot for their support in selecting Figs. 3, 5, 6, 7 , and 9 for this review.  ... 
doi:10.1186/s41747-021-00250-0 pmid:34873633 pmcid:PMC8648935 fatcat:5to5wgkys5cfviz73nyr7r5gee
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