Built a state-of-the-art CNN-based detection system with VGG16 and transfer learning. Achieved 95% classification accuracy with an F1-score of 0.94 and AUC > 0.90. Improved diagnostic efficiency by 30 ...

1 The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China 2 College of Information Engineering, Henan University of Science and ...

Researchers have developed an AI model that uses epigenetic DNA signatures to identify tumors with over 99% accuracy, potentially replacing risky biopsies with safer, faster diagnoses. Credit: ...

Abstract: Automatic statistical classification-based segmentation of MR images of healthy brains, including initialization and geometric restrictions based on an atlas prior. The most recent extension ...

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Therefore, it is very crucial to improve the accuracy of this classification system for brain tumors to assist doctors in their treatment. We propose a deep feature fusion method based on ...