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Progress made in Fuzzy Cognitive Map methodology for medical image classification!

DeepFCM and DeepFCMx are developed as transparent and comprehensive methodologies based on deep learning and FCM techniques for the automatic classification of two separate classification problems: coronary artery disease and non-small cell lung cancer. The main strengths of DeepFCM are the effective employment of both image and clinical data. The generated weight matrix and the […]

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