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Comparison of F-Measure, BER and PSNR of Tumor Detection using Hybridization of Fuzzy and Region Growing

机译：使用模糊和区域杂交的肿瘤检测F测量，BER和PSNR的比较

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Simran Arora; Gurjit Singh; V.K. Banga;
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年度 2015
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1. Morphological edge detection and brain tumor segmentation in Magnetic Resonance (MR) images based on region growing and performance evaluation of modified Fuzzy C-Means (FCM) algorithm [J] . C. Jaspin Jeba Sheela, G. Suganthi Multimedia Tools and Applications . 2020,第25a26期

机译：基于区域生长的磁共振（MR）图像中的形态边缘检测和脑肿瘤分割和改进模糊C型（FCM）算法的性能评价
2. Tumor detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm [J] . Vishnuvarthanan G., Rajasekaran M. Pallikonda, Vishnuvarthanan N. Anitha, International journal of imaging systems and technology . 2017,第1期

机译：基于种子区域生长算法的优化和模糊聚类相结合，在T1，T2，FLAIR和MPR脑图像中进行肿瘤检测
3. Semi-Automated Segmentation of Single and Multiple Tumors in Liver CT Images Using Entropy-Based Fuzzy Region Growing [J] . Baazaoui A., Barhoumi W., Ahmed A., Innovation and research in biomedical en . 2017,第2期

机译：基于熵的模糊区域增长算法在肝脏CT图像中对单个和多个肿瘤的半自动分割
4. Comparison of Automatic Seed Generation Methods for Breast Tumor Detection Using Region Growing Technique [C] . Ahlem Melouah Computer science and its applications . 2015

机译：区域生长技术用于乳腺癌检测的自动种子生成方法比较
5. A comparison of Hidden Markov Model based programs for detection of copy number variation in array comparative genomic hybridization data. [D] . Roberson, Andrea. 2010

机译：基于隐马尔可夫模型的程序比较，用于检测阵列比较基因组杂交数据中的拷贝数变异。
6. Fuzzy methods for the detection of copy number variations in comparative genomic hybridization arrays [O] . Ahmad AlShibli, Hassan Mathkour 2020

机译：对比较基因组杂交阵列的拷贝数变化检测的模糊方法
7. Brain Tumor Detection and Classification in Magnetic Resonance Imaging (MRI) using Region Growing, Fuzzy Symmetric Measure, and Artificial Neural Network Backpropagation [O] . Lugina Muhammad, Retno Novi Dayawanti, Rita Rismala 2016

机译：利用区域生长，模糊对称测量和人工神经网络反向衰减，脑肿瘤检测和磁共振成像（MRI）的分类

Comparison of F-Measure, BER and PSNR of Tumor Detection using Hybridization of Fuzzy and Region Growing

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