NORMAL VE KANSERLİ HÜCRE ÇEKİRDEKLERİNİN DALGACIK DÖNÜŞÜM YÖNTEMİ İLE SINIFLANDIRILMASI

Bu calismada, mikroskop, kamera ve sayisallastirici kart kullanilarak elde edilmis olan prostat hucre cekirdek imgeleri, duragan dalgacik donusum yontemi kullanilarak modellenmistir. Islemlerde Daubechies, Coiflet, ciftdikgen ve simetrik dalgaciklarin degisik tipleri kullanilmistir. Oznitelik vektorleri, her kanal icin enerji, entropi ve ortalama sapma hesaplanarak olusturulmustur. Modelin basarimini olcmek icin, dogrusal ayirtac siniflandirici kullanilmistir. Capraz saglama yontemi ile elde edilen siniflandirma sonuclarina bakildiginda, ciftdikgen dalgacik donusumunden elde edilen ortalama sapma ozniteliklerinin en iyi sonucu verdigi gorulmustur.

[1]  Bayan S. Sharif,et al.  Microscopic image analysis for quantitative measurement and feature identification of normal and cancerous colonic mucosa , 1998, IEEE Transactions on Information Technology in Biomedicine.

[2]  Jun Zhang,et al.  Segmentation of dermatoscopic images by stabilized inverse diffusion equations , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[3]  Michael Spann,et al.  Texture feature performance for image segmentation , 1990, Pattern Recognit..

[4]  R. Ashfaq,et al.  Evaluation of PAPNET system for rescreening of negative cervical smears. , 1995, Diagnostic cytopathology.

[5]  Miodrag Popović,et al.  Characterization of visually similar diffuse diseases from B-scan liver images using nonseparable wavelet transform , 1998, IEEE Transactions on Medical Imaging.

[6]  A. Kundu,et al.  Rotation and Gray Scale Transform Invariant Texture Identification using Wavelet Decomposition and Hidden Markov Model , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  T. Colgan,et al.  AutoPap 300 QC system scoring of cervical smears without "epithelial cell abnormalities". , 1997, Acta cytologica.

[8]  Wilson S. Geisler,et al.  Multichannel Texture Analysis Using Localized Spatial Filters , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Paul Scheunders,et al.  Statistical texture characterization from discrete wavelet representations , 1999, IEEE Trans. Image Process..

[10]  O L Mangasarian,et al.  Indeterminate fine‐needle aspiration of the breast , 1997, Cancer.

[11]  L. Dalton.  Computer-based image analysis of prostate cancer: comments with emphasis on use of commercially available systems. , 1992, Human pathology.

[12]  M.,et al.  Statistical and Structural Approaches to Texture , 2022 .

[13]  Jian Fan,et al.  Texture Classification by Wavelet Packet Signatures , 1993, MVA.