Skin Cancer Classification

Skin Cancer Classification

Description

A deep convolutional neural network trained on a relatively small dataset in order to classify skin cancer. Researchers found the technology to be more accurate than board-certified dermatologists in their tests. Researchers suggest that this technology, which uses only a single image, can be used for screening purposes.

Creator

Information

Pediatrics or Adult

Adult

Speciality

Dermatology

Modality

Clinical Images

Training

Used 4867 clinical images obtained from 1842 patients diagnosed with skin tumours at the University of Tsukuba Hospital from 2003 to 2016

Github

Publication

FDA

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