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A fuzzy Hopfield neural network for medical image …
- https://ieeexplore.ieee.org/abstract/document/531787/
- Abstract: In this paper, an unsupervised parallel segmentation approach using a fuzzy Hopfield neural network (FHNN) is proposed. The main purpose is to embed fuzzy …
A fuzzy Hopfield neural network for medical image …
- https://www.semanticscholar.org/paper/A-fuzzy-Hopfield-neural-network-for-medical-image-Lin-Cheng/b4533f104d7c64940d14777d292e5d5091a0d72d
- The main purpose is to embed fuzzy clustering into neural networks so that on-line learning and parallel implementation for medical image segmentation are feasible. The idea is to …
A fuzzy Hopfield neural network for medical image …
- https://www.researchgate.net/publication/3135357_A_fuzzy_Hopfield_neural_network_for_medical_image_segmentation
- In this paper, an unsupervised parallel segmentation approach using a fuzzy Hopfield neural network (FHNN) is proposed. The main purpose is to embed fuzzy …
A fuzzy Hopfield neural network for medical image …
- https://www.osti.gov/biblio/376043
- The main purpose is to embed fuzzy clustering into neural networks so that on-line learning and parallel implementation for medical image segmentation are feasible. …
Segmentation of medical images through a penalized …
- https://www.tandfonline.com/doi/abs/10.1080/02533839.2000.9670584
- Segmentation of medical images, including Computerized Tomography (CT), Magnetic Resonance Imaging (MRI), mammographic imaging, and x‐ray imaging, is an …
Fuzzy Hopfield neural network with fixed weight …
- https://ir.nctu.edu.tw/bitstream/11536/29028/1/000174077400011.pdf
- Fuzzy Hopfield neural network with fixed weight for medical image segmentation Chwen-Liang Chang Yu-Tai Ching,MEMBER SPIE National Chiao Tung University …
The application of competitive Hopfield neural network to …
- https://ieeexplore.ieee.org/document/511759/
- The image segmentation is conceptually formulated as a problem of pixel clustering based upon the global information of the gray level distribution. Thus, the energy function for …
The application of competitive Hopfield neural network to …
- https://www.semanticscholar.org/paper/The-application-of-competitive-Hopfield-neural-to-Cheng-Lin/1eac153d3632c769486b9789f4415bec5b835825
- The Hopfield neural network with penalized fuzzy c‐means technique (called PFHNN) is proposed for medical image segmentation, where the pixels with their first and second …
43, 4, A Fuzzy Hopfield for Medical Image …
- https://www.researchgate.net/profile/Kuo-Sheng-Cheng/publication/3135357_A_fuzzy_Hopfield_neural_network_for_medical_image_segmentation/links/00b7d52240b5b808f8000000/A-fuzzy-Hopfield-neural-network-for-medical-image-segmentation.pdf
- In this paper, a new segmentation method using a fuzzy Hopfield neural network (FHNN) based upon the pixel classification for medical image segmentation is proposed. This …
A fuzzy Hopfield neural network for medical image …
- https://ui.adsabs.harvard.edu/abs/1996ITNS...43.2389L/abstract
- The main purpose is to embed fuzzy clustering into neural networks so that on-line learning and parallel implementation for medical image segmentation are feasible. The idea is to …
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