Article

Morphological Information Extraction in medical imaging using deep learning interpretability: application case on craniofacial dysmorphism

2023-03-10

Abstract excerpt

Recent advances in the interpretability of convolutional neural networks (CNNs) have allowed applications in imaging as a novel method for visual feature extraction. We used this approach to investigate the impact of changing occlusal forces on craniofacial architecture in class II retrognathism (C2Rm) pathology. Better understanding the points of impact of C2Rm on the entire skull is a major challenge in the diag...

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Literature Corpus work: 0c112197-ec8e-5e06-a610-eac8acc503bd
DOI: 10.21203/rs.3.rs-2544408/v1

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