The image processing handbook (3rd ed.)
The image processing handbook (3rd ed.)
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Introduction to High-Level Synthesis
IEEE Design & Test
A Robust Snake Implementation; A Dual Active Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale convolutional neural networks for vision: based classification of cells
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Classifier ensemble for an effective cytological image analysis
Pattern Recognition Letters
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
Computers in Biology and Medicine
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The automatic diagnosis of breast cancer (BC) is an important, real-world medical problem. This paper proposes a design of automated detection, segmentation, and classification of breast cancer nuclei using a fuzzy logic. The first step is based on segmentation using an active contour for cell tracking and isolating of the nucleus in the cytological image. Then from this nucleus, have been extracted some textural features using the wavelet transforms to characterize image using its texture, so that malign texture can be differentiated from benign one with the assumption that tumoral texture is different from the texture of other kinds of tissues. Finally, the obtained features will be introduced as the input vector of a fuzzy C-means (FCM) clustering algorithm to classify the images into malign and benign ones. The implementation of such algorithm has been done using a methodology based on very high speed integrated circuit, hardware description language (VHDL). The design of the circuit is performed by using a CMOS 0.35聽μm technology.