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Matching of medical images by self-organizing neural …
- https://www.sciencedirect.com/science/article/abs/pii/S0167865503002332
- A general approach to the problem of image matching which exploits a multi-scale representation of local image structure and the principles of self-or…
Matching of medical images by self-organizing neural …
- https://www.researchgate.net/publication/220646109_Matching_of_medical_images_by_self-organizing_neural_networks
- The problem considered is relevant in many imaging applications and has been largely investigated in medical imagery, especially as regards the integration of …
Matching of medical images by self-organizing neural …
- https://dl.acm.org/doi/abs/10.1016/j.patrec.2003.10.012
- A general approach to the problem of image matching which exploits a multi-scale representation of local image structure and the principles of self-organizing …
X‐Ray medical image super‐resolution via self‐organization neural ...
- https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/ipr2.12603
- Using self-organizing neural maps as a pre-classifier, nearest neighbor algorithm as a post-classifier, geometric directional gradient edge detection operator as …
Matching of medical images by self-organizing neural …
- https://ui.adsabs.harvard.edu/abs/2004PaReL..25..341C/abstract
- Correspondence is computed by exploiting the learning procedure of a neural network derived from Kohonen's SOM. The SOM units coincide with the pixels of the target image …
Matching of medical images by self-organizing neural …
- https://www.semanticscholar.org/paper/Matching-of-medical-images-by-self-organizing-Coppini-Diciotti/e1e155f3453c110aeb97720888d8736b75c1052d
- Matching of medical images by self-organizing neural networks @article{Coppini2004MatchingOM, title={Matching of medical images by self …
A Spatial Guided Self-supervised Clustering Network for …
- https://link.springer.com/chapter/10.1007/978-3-030-87193-2_36
- The segmentation of medical images is a fundamental step in automated clinical decision support systems. Existing medical image segmentation methods based …
High-Order Attention Networks for Medical Image …
- https://link.springer.com/chapter/10.1007/978-3-030-59710-8_25
- Current state-of-the-art Convolutional Neural Networks on medical image segmentation capture local context information using fixed-shape receptive fields and …
Segmentation of the CT Image using self-organizing …
- https://www.researchgate.net/publication/298948200_Segmentation_of_the_CT_Image_using_self-organizing_neural_networks
- Segmentation of the CT Image using self-organizing neural networks Authors: Marko Martinović College of Slavonski Brod Antun Stoic Darko Kis Abstract A …
Understanding Self-Organising Map …
- https://towardsdatascience.com/understanding-self-organising-map-neural-network-with-python-code-7a77f501e985
- A sensory input like vision, hearing, smell, and taste is mapped to neurons of a corresponding cortex area via synapses in a self-organising way. It is also known that the neurons with similar …
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