In this work, we investigate the effect of using spatio-tepmoral features on a regional basis on the liver focal lesions classification performance in the multiphase CT images. Texture, Density, and temporal feature s...
详细信息
ISBN:
(数字)9781728163925
ISBN:
(纸本)9781728163932
In this work, we investigate the effect of using spatio-tepmoral features on a regional basis on the liver focal lesions classification performance in the multiphase CT images. Texture, Density, and temporal feature set and their different combinations along spatial partitioned ROI were investigated to better characterizing five hepatic pathologies from multiphase contrast-enhanced CT scans. Embedded feature selection followed by decision tree ensembles classification with ten folds cross-validation were employed to classify a total of 180 ROI includes normal tissues, cyst, haemangioma, metastatic and hepatocellular carcinoma. Our result suggested that normal liver tissues could easily be recognized from just the density features, whereas texture features could obtain near best results in classifying HCC. Combining all feature sets could overcome individual performance variations between them and attain consistent better results for all tumor types. Moreover, Adding the regional information improves all the classes characterization especially haemangiomas and metastases.
作者：
El Ogri, O.Karmouni, H.Yamni, M.Daoui, A.Sayyouri, M.Qjidaa, H.CED-ST
STIC Laboratory of Electronic Signals and Systems of Information LESSI Dhar El Mahrez Faculty of Science Sidi Mohamed Ben Abdellah-Fez University Fez Morocco Engineering
Systems and Applications Laboratory National School of Applied Sciences Sidi Mohamed Ben Abdellah University BP 72 My Abdallah Avenue Km. 5 Imouzzer Road Fez Morocco
In this paper, we propose a new method for the fast and stable computation of Charlier-Meixner’s bivariable moments by using the digital filters based on the Z transformation and the image block representation. To gu...
详细信息
This paper presents an overview of training strategies for optical character recognition of historical documents. The main issue is the lack of the annotated data and its quality. We summarize several ways of syntheti...
详细信息
In the paper, one parabolic-type boundary value problem is solved for determining the temperature field of the raw cotton and air components in drum dryers. In the proposed model, convective heat transfer is used acco...
In the paper, one parabolic-type boundary value problem is solved for determining the temperature field of the raw cotton and air components in drum dryers. In the proposed model, convective heat transfer is used according to Newton’s law and the evaporation of moisture from the components of raw cotton (seeds, fiber) and the influence of air velocity are taken intoaccount. The resulting system of Galerkin’s differential equations is solved by the finite-difference method in time. It is shown that the approximate solution is estimated according to Galerkin method in Sobolev space. The numerical results of the considered problem are obtained by the Bubnov–Galerkin method. A comparative analysis is carried out with experimental data. It is shown that the proposed mathematical model and its numerical algorithm adequately describe the drying process of raw cotton.
Identification of fires by satellite methods and means is one of the main tasks of the modern forest fire monitoring system. The article presents a method for mapping forest fires based on the data of the MODIS Spectr...
详细信息
Spell checking plays an important role in improving document quality by identifying misspelled words in the document. The spelling check method aims to verify and correct misspelled words through a series of suggested...
详细信息
Paper aims to use the programming codes in calculating the values of neutrosophic grades and their representation in proving the certainty and uncertainty associated with the data of navigational projects development ...
详细信息
This work aims at data preparation for OCR systems based on recurrent neural networks. Precisely annotated data are necessary for training a network as well as for evaluation of OCR methods. It is possible to synthesi...
详细信息
Monte Carlo Tree Search (MCTS) has shown its strength for a lot of deterministic and stochastic examples, but literature lacks reports of applications to real world industrial processes. Common reasons for this are th...
详细信息
A hybrid machine learning method is proposed for wildfire susceptibility mapping. For modeling a geographical information system (GIS) database including 11 influencing factors and 262 fire locations from 2013 to 2018...
详细信息
暂无评论