A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization
CONCLUSION: It can be observed from the results that the proposed multilayer perceptron based thyroid tumor type classification system works in an efficient manner than the existing classifiers like CANFES, Spatial Fuzzy C means, Deep Belief Networks, Thynet and Generative adversarial network and Long Short-Term memory.PMID:38393884 | DOI:10.3233/XST-230430
Source: Journal of X-Ray Science and Technology - Category: Radiology Authors: B Shankarlal S Dhivya K Rajesh S Ashok Source Type: research
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