A new method based on adaptive discrete wavelet entropy energy and neural network classifier (ADWEENN) for recognition of urine cells from microscopic images independent of rotation and scaling

Journal of Medical Systems

Volumn 38, Issue 2, 2014, Pages

  Avci, Derya ^a   Leblebicioglu, Mehmet Kemal ^b   Poyraz, Mustafa ^a   Dogantekin, Esin ^c  

^a FIRAT UNIVERSITY   (Turkey)

^b MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^c ZIRVE UNIVERSITY   (Turkey)

Author keywords

Artificial Neural Network classifier; Discrete wavelet transform; Feature extraction; Image processing; Microscopic images; Urine cells recognition

Indexed keywords

ADAPTIVE DISCRETE WAVELET ENTROPY ENERGY AND NEURAL NETWORK CLASSIFIER; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL STRUCTURE; CLASSIFICATION; CLASSIFIER; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIGITAL IMAGING; ENTROPY; EXTRACTION; IMAGE ANALYSIS; IMAGE PROCESSING; MICROSCOPY; NOISE REDUCTION; PATTERN RECOGNITION; PROCEDURES CONCERNING CELLS; URINALYSIS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CYTOLOGY; HUMAN; MICROBIOLOGY; PROCEDURES; URINE; WAVELET ANALYSIS;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; URINALYSIS; URINE; WAVELET ANALYSIS;

EID: 84893183206     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0007-3     Document Type: Article

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