Mass Detection in Lung CT Images Using Region Growing Segmentation and Decision Making Based on Fuzzy Inference System and Artificial Neural Network

Abstract

Abstract-Nowadays, Karyotype analysis is frequently used in cytogenetics. It is a time-consuming and repetitive work therefore an automatic analysis can greatly be valued. In this research, an automatic method is presented. Firstly, a proposed locally adaptive thresholding method is used to segment chromosome clusters. Then, the clusters is divided into two main categories including, single chromosomes and multichromosome clusters based on geometric shape of clusters. In the next step, each extracted cluster is investigated to find the dark paths in order to detect touching chromosomes. Then, overlapping chromosomes are separated in clusters based on their geometric shapes. Finally, a criterion function is used to measure the similarity between the outputs of the proposed algorithm and the single chromosomes in order to recognize separated parts. The proposed algorithm is applied on 47 G-band images. The results shows that single chromosomes and clusters are recognized by the precision of 98.5% and 86.4%, respectively and separation of touching and overlapping clusters are done by precision of 70% and 67%, respectively.

Adaptive neuro‐fuzzy inference system approach for urban sustainability assessment: A China case study

“…Since then, the ANFIS method has been widely used in many research areas, such as prediction (Abdulshahed, Longstaff, & Fletcher, ; Hegde & Raju, ; Petković, Shamshirband, Abbasi, Kiani, & Al‐Shammari, ; Rai, Pai, & Rao, ), knowledge discovery (Huang, Tsou, & Lee, ; Inyang & Akinyokun, ; Vahidnia, Alesheikh, Behzadi, & Salehi, ), decision‐making (Hashemi, Pilevar, & Rafeh, ; Li, Yang, & Cao, ; Özkan & İnal, ) and evaluation (Eldessouki & Hassan, ; Maher, Sarhan, Barzani, & Hamdi, ; Sangaiah, Thangavelu, Gao, Anbazhagan, & Durai, ; Sun, Hu, Lei, Zhu, & Jiang, ). For example, Sun et al () applied the ANFIS method to evaluate the ground source heat pump (GSHP) system, and found that it provided high accuracy and reliability for calculating performance indexes of the system.…”

An Evaluation of Features Extraction from Lung CT Images for the Classification Stage of Malignancy

“…Based on this method, threshold value will be between 0 and 1. After achieving this value we can segment an image based on it [11]. The main morphological operations are dilation, erosion, closing, opening and the hit-or-miss transform.…”

Imaging Techniques for Cancer Diagnosis and Scope for Enhancement

“…These slices are few millimeters apart. Recent technical advances in CT scan increase the effectiveness and speed by taking continuous pictures of body so that there is no gape in the pictures collected [31][32][33][34][35]. Some CT images are shown in figure 6 below.…”