Hybrid Parallel Fuzzy CNN Paradigm: Unmasking Intricacies for Accurate Brain MRI Insights

The hybrid parallel fuzzy convolutional neural network (HP-FCNN) is a ground-breaking method for medical image analysis that combines the interpretive capacity of fuzzy logic with the capabilities of a convolutional neural network (CNN). This novel combination tackles problems related to brain image...

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Bibliographic Details
Published in:	IEEE transactions on fuzzy systems 2024-10, Vol.32 (10), p.5533-5544
Main Authors:	Iqbal, Saeed, Qureshi, Adnan N., Aurangzeb, Khursheed, Alhussein, Musaed, Wang, Shuihua, Anwar, Muhammad Shahid, Khan, Faheem
Format:	Article
Language:	English
Subjects:	Adaptive class activation mapping (AD-CAM) brain magnetic resonance imaging (MRI) Brain modeling convolutional neural network (CNN) Convolutional neural networks Fuzzy logic hybrid parallel fuzzy CNN (HP-FCNN) Image segmentation Magnetic resonance imaging Medical diagnostic imaging medical image analysis Tumors
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