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CNNs and targeted combination therapy

Presented By
Dr Allan Halpern, Memorial Sloan Kettering Cancer Center
Conference
AAD 2018

Better diagnosis with deep convolutional neural networks

“Malignant melanoma is primarily diagnosed visually, beginning with an initial clinical screening,” said Dr Allan Halpern [9]. This step is then followed by dermoscopic analysis, a biopsy and histopathological examination.

Artificial intelligence—deep convolutional neural networks (CNNs) —may help in diagnosis, according to a recent publication [10]. CNNs are feed-forward artificial neural networks and learn the filters that, in traditional algorithms, were hand-engineered. This makes them independent of prior knowledge and human effort.

The working group at Stanford University in California trained this system with a dataset of 129,450 clinical images consisting of 2,032 different diseases (two orders of magnitude larger than previous datasets). The CNN was then tested against 21 board-certified dermatologists on biopsy-proven clinical images.

The result was astonishing: the CNN...



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