Intelligent Diagnostic System for Nuclei Structure Classification of Thyroid Cancerous and Non-Cancerous Tissues
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 7
Abstract
Recently, image mining has opened new bottlenecks in the field of biomedical discoveries and machine leaning techniques have brought significant revolution in medical diagnosis. Especially, classification problem of human cancerous tissues would assume to be one of the really challenging problems since it requires very high optimized algorithms to select the appropriate features from histopathological images of well-differentiated thyroid cancers. For instance prediction of initial changes in neoplasm such as hidden patterns of nuclei overlapping sequences, variations in nuclei structures, distortion in chromatin distributions and identification of other micro- architectural behaviors would provide more meticulous assistance to doctors in early diagnosis of cancer. In-order to mitigate all above stated problems this paper proposes a novel methodology so called “Intelligent Diagnostic System for Nuclei Structural Classification of Thyroid Cancerous and Non-Cancerous Tissues” which classifies nuclei structures and cancerous behaviors from medical images by using proposed algorithm Auto_Tissue_Analysis. Overall methodology of approach is comprised of four layers. In first layer noise reduction techniques are used. In second layer feature selection techniques are used. In third layer decision model is constructed by using random forest (tree based) algorithm. Finally result visualization and performance evaluation is done by using confusion matrix, precision and recall measures. The overall classification accuracy is measured about 74% with 10-k fold cross validation.
Authors and Affiliations
Jamil Ahmed Chandio, M. Abdul Rehman Soomrani
Keywords
Related Articles
- EP ID EP260405
- DOI 10.14569/IJACSA.2017.080746
- Views 96
- Downloads 0
Modelling and Implementation of Proactive Risk Management in e-Learning Projects: A Step Towards Enhancing Quality of e-Learning
The introduction of e-Learning to higher education institutions has been evolving drastically. However, the quality of e-Learning becomes a central issue in order to provide all stakeholders with the necessary confidence...
Vision Based Geo Navigation Information Retrieval
In order to derive the three-dimensional camera position from the monocular camera vision, a geo-reference database is needed. Floor plan is a ubiquitous geo-reference database that every building refers to it during con...
A Cascaded H-Bridge Multilevel Inverter with SOC Battery Balancing
In this paper, we present a single phase 5 levels H-Bridge multilevel inverter (CHMLI) with battery balancing technique. Each single full bridge is directly connected to a battery inside the power bank. The different com...
A MODIFIED METHOD FOR ORDER REDUCTION OF LARGE SCALE DISCRETE SYSTEMS
In this paper, an effective procedure to determine the reduced order model of higher order linear time invariant discrete systems is discussed. A new procedure has been proposed for evaluating Time moments of the origina...
The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition
Tensor decompositions represent a start for big data analysis and a start in reduction of dimensionality, object detection, clustering and so on. This paper presents a method to study the behavior of users in the online...