About the scholar: Lutfi Eren Erdogan grew up in Turkey and attended Uskudar American Academy in Istanbul, Turkey.
Using advanced computer technology to classify medical images has proven challenging because the datasets of images are limited in size and mostly lack annotations, whereas the supervised convolutional neural networks that can aid diagnosis generally require large datasets annotated by experts to guarantee high performance. Pioneer scholar Lutfi thought a semi-supervised neural network might be used to train a powerful classifier that could provide accurate results. His semi-supervised classification approach worked well with medical datasets with limited images and few labels, outperforming a state-of-the-art classification network. Lutfi has made his code available for public use as part of his paper.
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