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Gunasundari S, Swetha R
2021 EPRA international journal of research & development  
Finally, challenges are also highlighted for possible future work. KEYWORDS: Machine Learning, Liver, Liver disease, Computer Aided Diagnosis system, Liver Cancer, Computed Tomography  ...  Pattern recognition is a significant area of research in medicine because many applications like diagnostic system benefit from it.  ...  greatly enhanced the interpretation of medical images.  ... 
doi:10.36713/epra6570 fatcat:g3ln7us6knds3ey3ofeo4kdlra

Computer aided diagnosis based on medical image processing and artificial intelligence methods

John Stoitsis, Ioannis Valavanis, Stavroula G. Mougiakakou, Spyretta Golemati, Alexandra Nikita, Konstantina S. Nikita
2006 Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment  
Advances in imaging technology and computer science have greatly enhanced interpretation of medical images, and contributed to early diagnosis.  ...  The second CAD system presented in this paper supports the diagnosis of focal liver lesions and is able to characterize liver tissue from Computed Tomography (CT) images as normal, hepatic cyst, hemangioma  ...  Nicolaides), for providing the imaging data.  ... 
doi:10.1016/j.nima.2006.08.134 fatcat:mhltq7dzfbalrehbjxtkwxqkzu

Three-Dimensional Texture Analysis Based on PET/CT Images to Distinguish Hepatocellular Carcinoma and Hepatic Lymphoma

Hanyue Xu, Wen Guo, Xiwei Cui, Hongyu Zhuo, Yinan Xiao, Xuejin Ou, Yunuo Zhao, Tao Zhang, Xuelei Ma
2019 Frontiers in Oncology  
tomography-computed tomography (PET/CT).  ...  Objectives: This study compared the diagnostic ability of image-based parameters with texture parameters in the differentiation of hepatocellular carcinoma (HCC) and hepatic lymphoma (HL) by positron emission  ...  Positron emission tomography-computed tomography (PET/CT), a non-invasive clinic examination, reveals the anatomical structure as well as the glucose metabolism of tissues and therefore has been widely  ... 
doi:10.3389/fonc.2019.00844 pmid:31552173 pmcid:PMC6733884 fatcat:ti3qkawypffmvl7io2zvda555a

Computer-aided diagnosis of liver tumors on computed tomography images

Chin-Chen Chang, Hong-Hao Chen, Yeun-Chung Chang, Ming-Yang Yang, Chung-Ming Lo, Wei-Chun Ko, Yee-Fan Lee, Kao-Lang Liu, Ruey-Feng Chang
2017 Computer Methods and Programs in Biomedicine  
tomography, liver tumor, neural network, textural analysis  ...  Computed tomography (CT) after iodinated contrast agent injection is highly accurate for diagnosing liver tumors but may cause renal toxicity and allergic reaction.  ...  In this paper, hepatic tumors in non-enhanced CT images were identified first.  ... 
doi:10.1016/j.cmpb.2017.04.008 pmid:28552125 fatcat:bukrl2lqlzaptkmcaq7gnoxyju

Texture analysis in non-contrast enhanced CT: Impact of malignancy on texture in apparently disease-free areas of the liver

Balaji Ganeshan, Kenneth A. Miles, Rupert C.D. Young, Chris R. Chatwin
2009 European Journal of Radiology  
Objectives: To determine whether texture analysis of non-contrast enhanced computed tomography (CT) images in apparently disease-free areas of the liver is altered by the presence of extra-and intra-hepatic  ...  Conclusions: Relative texture analysis of unenhanced hepatic CT can reveal changes in apparently disease-free areas of the liver that have previously required more complex perfusion measurements for detection  ...  In model based approach, mathematical models such as fractal and stochastic models, analyze texture by identifying an appropriate model that reflects prior information about the type of tissue images to  ... 
doi:10.1016/j.ejrad.2007.12.005 pmid:18242909 fatcat:4cg6ic3l6jdxloco2vr4gwsnya

Diagnosis of Hepatic Tumors With Texture Analysis in Nonenhanced Computed Tomography Images

Yu-Len Huang, Jeon-Hor Chen, Wu-Chung Shen
2006 Academic Radiology  
We aimed to evaluate the potential role of the computer-aided diagnosis (CAD) with texture analysis in the differential of hepatic tumors on nonenhanced CT. Materials and Methods.  ...  Computed tomography (CT) after iodinated contrast agent injection is highly accurate for diagnosis of hepatic tumors. However, iodinating may have problems of renal toxicity and allergic reaction.  ...  studies for early detection and diagnosis of liver carcinomas include ultrasonography (US), magnetic resonance imaging (MRI), angiography, and computed tomography (CT).  ... 
doi:10.1016/j.acra.2005.07.014 pmid:16679273 fatcat:fmrhxjwv4vcnvkn2a5jfdiyvu4

Prediction of liver cirrhosis, using diagnostic imaging tools

Suk Keu Yeom
2015 World Journal of Hepatology  
Basic imaging for the diagnosis of liver cirrhosis has developed over the last few decades, enabling early detection of morphological changes of the liver by ultrasonography (US), computed tomography,  ...  There are a number of ways to compensate for this difficulty, including texture analysis to more closely identify the homogeneity of hepatic parenchyma, elastography to measure the stiffness and elasticity  ...  Figure 2 2 Image of liver cirrhosis caused by chronic hepatitis B. Contrast enhanced computed tomography portal phase images show multiple collateral vessels of portal vein.  ... 
doi:10.4254/wjh.v7.i17.2069 pmid:26301049 pmcid:PMC4539400 fatcat:27ifvlmiybgkloep4bmokdme3y

Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images

Gautam Bahl, Irene Cruite, Tanya Wolfson, Anthony C. Gamst, Julie M. Collins, Alyssa D. Chavez, Fatma Barakat, Tarek Hassanein, Claude B. Sirlin
2012 Journal of Magnetic Resonance Imaging  
The MaZda software program was used to compute 279 texture parameters for each image.  ...  A statistical regularization technique, generalized linear model (GLM)-path, was used to develop a model based on texture features for dichotomous classification of fibrosis category (F ≤2 vs.  ...  The five subjects incorrectly classified by the model are shown in Fig. 3 . Discussion There is need for noninvasive imaging methods to assess hepatic fibrosis.  ... 
doi:10.1002/jmri.23759 pmid:22851409 pmcid:PMC4803477 fatcat:7kg6rxxpzrbafchbjcgcs4ugoy

Signature of survival: a 18F-FDG PET based whole-liver radiomic analysis predicts survival after 90Y-TARE for hepatocellular carcinoma

Paul Blanc-Durand, Axel Van Der Gucht, Mario Jreige, Marie Nicod-Lalonde, Marina Silva-Monteiro, John O. Prior, Alban Denys, Adrien Depeursinge, Niklaus Schaefer
2017 OncoTarget  
Pretreatment 18F-FDG PET whole-liver radiomics signature appears as an independent negative predictor for PFS and OS in patients undergoing 90Y-TARE for uHCC.  ...  To generate a predictive whole-liver radiomics scoring system for progression-free survival (PFS) and overall survival (OS) in patients undergoing transarterial radioembolization using Yttrium-90 (90Y-TARE  ...  the Study of Liver Diseases; AFP: Alpha-fetoprotein; BCLC: Barcelona-Clinic Liver Cancer; CGITA: Chang Gung Image Texture Analysis; CLIP: Cancer of the Liver Italian Program; CT: Computed tomography;  ... 
doi:10.18632/oncotarget.23423 pmid:29435123 pmcid:PMC5796994 fatcat:4ms2mkp3ebamfkgo2ip7wzsm7q

Differentiating Hepatic Epithelioid Angiomyolipoma From Hepatocellular Carcinoma and Focal Nodular Hyperplasia via Radiomics Models

Wenjie Liang, Jiayuan Shao, Weihai Liu, Shijian Ruan, Wuwei Tian, Xiuming Zhang, Dalong Wan, Qiang Huang, Yong Ding, Wenbo Xiao
2020 Frontiers in Oncology  
Methods: Totally, preoperative contrast-enhanced computed tomography (CT) data of 170 patients and preoperative contrast-enhanced magnetic resonance imaging (MRI) data of 137 patients were enrolled in  ...  We conduct a study in developing and validating two radiomics-based models to preoperatively distinguish hepatic epithelioid angiomyolipoma (HEAML) from hepatic carcinoma (HCC) as well as focal nodular  ...  WX, JS, SR, and WT: data analysis and interpretation. WLia, WLiu, DW, and QH: manuscript writing. All authors: review and editing.  ... 
doi:10.3389/fonc.2020.564307 pmid:33123475 pmcid:PMC7573543 fatcat:77zkktjhlffednlaowve3g3nbm

Microcomputed Tomography with Diffraction-Enhanced Imaging for Morphologic Characterization and Quantitative Evaluation of Microvessel of Hepatic Fibrosis in Rats

Jinghao Duan, Chunhong Hu, Shuqian Luo, Xinyan Zhao, Tailing Wang, Ferruccio Bonino
2013 PLoS ONE  
In the present feasibility study, high-resolution computed tomography (CT) using diffraction-enhanced imaging (DEI) was used to represent three-dimensional (3D) vessel microstructures of hepatic fibrosis  ...  in rats and to differentiate different stages of hepatic fibrosis using qualitative descriptions and quantitative measurement of microvessels.  ...  Acknowledgements The authors would like to thank the staffs from beamline BL-14B of the Photon Factory in Tsukuba, Japan for their kindly assistance in our experiments.  ... 
doi:10.1371/journal.pone.0078176 pmid:24205147 pmcid:PMC3804625 fatcat:qrthj5mzdvbvzpnv5apuhhqg7e

Model‑based three‑dimensional texture analysis of contrast‑enhanced magnetic resonance imaging as a potential tool for preoperative prediction of microvascular invasion in hepatocellular carcinoma

Yong‑Jian Zhu, Bing Feng, Shuang Wang, Li‑Ming Wang, Jiang‑Fen Wu, Xiao‑Hong Ma, Xin‑Ming Zhao
2019 Oncology Letters  
The purpose of the present study was to investigate the value of contrast-enhanced magnetic resonance imaging (CE-MRI) texture analysis for preoperatively predicting microvascular invasion (MVI) in hepatocellular  ...  Four MR texture features in AP and five in PP images were identified through feature reduction.  ...  Functional imaging modalities, including diffusion-weighted imaging, diffusion kurtosis imaging and positron emission tomography-computed tomography (PET-CT), do not have good predictive power because  ... 
doi:10.3892/ol.2019.10378 pmid:31289547 pmcid:PMC6546996 fatcat:nk6tafnvbzczzktvevyr2tlwne

Automatic annotation of radiological observations in liver CT images

Francisco Gimenez, Jiajing Xu, Yi Liu, Tiffany Liu, Christopher Beaulieu, Daniel Rubin, Sandy Napel
2012 AMIA Annual Symposium Proceedings  
We aim to predict radiological observations using computationally-derived imaging features extracted from computed tomography (CT) images.  ...  Informative radiological observations such as lesion enhancement, hypervascular attenuation, and homogeneous retention were predicted well by computational features.  ...  This allows for visualization of lesions due to the difference in time between the arrival of contrast agent in the hepatic and portal circulations.  ... 
pmid:23304295 pmcid:PMC3540508 fatcat:d47tnclsgjdxpbzogqfltse6ie

A study of hepatic fibrosis staging methods using diffraction enhanced imaging

Jing Wang, Hui Li, Xiuling Zhou, Xiao-Zhi Gao, Ming Wang
2020 EURASIP Journal on Image and Video Processing  
We further demonstrate the potential of the DEI images in staging hepatic fibrosis.  ...  The early hepatic fibrosis staging is very important for timely diagnosis, prognosis, and treatment of all chronic liver diseases.  ...  Acknowledgements The authors acknowledge the staffs from beamline 4W1A of Beijing Synchrotron Radiation Facility for their kind supports for the experiments.  ... 
doi:10.1186/s13640-020-00520-8 fatcat:q7xabed55vhvnjpa65m6htwmrq

Sentiment Analysis of Movie Review using Machine Learning Techniques

V Uma Ramya, K Thirupathi Rao
2018 International Journal of Engineering & Technology  
In this paper, we are analyzing tweets based on movie reviews using the Multinomial Logistic Regression, Naïve Bayes, and SVM algorithms to compare score value to show the best text analysis algorithm.  ...  With the help of the deformable contour model, the liver contour can precisely be extracted After the liver area is extracted, it will be further enhanced for future feature texture-based classification  ...  Hence Computed Tomography has extent use in the field of medical technology.  ... 
doi:10.14419/ijet.v7i2.7.10921 fatcat:6fqc7uaaindyvpiu4zhgvh6hj4
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