Retinal vessel segmentation using enhanced fuzzy min-max neural network
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08061-7
Abstract: Automated segmentation of retinal vessels plays a pivotal role in early diagnosis of ophthalmic disorders. In this paper, a blood vessel segmentation algorithm using an enhanced fuzzy min-max neural network supervised classifier is proposed. The… read more here.
Keywords: network; using enhanced; vessel segmentation; segmentation ... See more keywords
Semi-supervised Fuzzy Min–Max Neural Network for Data Classification
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DOI: 10.1007/s11063-019-10142-5
Abstract: Learning from the lack of labeled data is a challenging task which often limits the performance of the classifier. Since the unlabeled data is easy to obtain, using both of the labeled and unlabeled data… read more here.
Keywords: min max; network; max neural; process ... See more keywords
A convolutional fuzzy min-max neural network
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DOI: 10.1016/j.neucom.2020.04.003
Abstract: Abstract Data updation is a natural process in real life machine leaning problems. Online machine learning is a possible solution to tackle such new data and facilitate continuous updation of knowledge without hampering the already… read more here.
Keywords: min max; network; convolutional fuzzy; max neural ... See more keywords
Deep Fuzzy Min-Max Neural Network: Analysis and Design.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3226040
Abstract: Fuzzy min-max neural network (FMNN) is one kind of three-layer models based on hyperboxes that are constructed in a sequential way. Such a sequential mechanism inevitably leads to the input order and overlap region problem.… read more here.
Keywords: neural network; hyperbox set; max neural; section ... See more keywords
Hybridization of Deep Learning Pre-Trained Models with Machine Learning Classifiers and Fuzzy Min–Max Neural Network for Cervical Cancer Diagnosis
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DOI: 10.3390/diagnostics13071363
Abstract: Medical image analysis and classification is an important application of computer vision wherein disease prediction based on an input image is provided to assist healthcare professionals. There are many deep learning architectures that accept the… read more here.
Keywords: neural network; max neural; min max; deep learning ... See more keywords