Optimized Fuzzy Logic Adaptive System with Holographic Convolutional Heterogeneous Graph Neural Network-based Feature Extraction and Classification for Brain Tumor Detection

Cells growing abnormally in the brain or surrounding tissues is called a brain tumor. It can cause symptoms such as headaches, seizures, and physical or cognitive deficits. It can also be benign (non-cancerous) or malignant (cancerous). To control its effects and enhance results, early identificatio...

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Vydáno v:	International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (Online) s. 1324 - 1330
Hlavní autoři:	Regan, M., Srinivasan, P. Santhosh
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 03.10.2024
Témata:	Accuracy Adaptive systems Brain Tumor Detection Classification algorithms Convolutional neural networks Feature extraction Filter based Fuzzy Logic Adaptive System Fuzzy logic Graph neural networks Heterogeneous Graph Neural Network Boosted Sooty Tern Optimization Algorithm Holographic Convolutional Neural Network Optimization Real-time systems Robustness
ISSN:	2768-0673
On-line přístup:	Získat plný text
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