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Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification

Medicine and Health

Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification

K. Seddiki, P. Saudemont, et al.

Discover how a groundbreaking study conducted by Khawla Seddiki and colleagues leveraged convolutional neural networks to revolutionize mass spectrometry data classification. By combining transfer learning with a novel cumulative learning method, they achieved over 98% accuracy, making clinical diagnoses faster and more precise than ever before.

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