Distinguish Benign and Malignant Skin Lesions

Distinguish Benign and Malignant Skin Lesions

Description

This study showcases an AI model developed for distinguishing between benign and malignant skin lesions using dermoscopy images, achieving an overall accuracy of 92%. Trained in just over an hour on Google’s platform, the model is both cost-effective and carbon-neutral, leveraging a dataset that includes both types of lesions. Despite its impressive performance, the study acknowledges limitations and calls for further research to improve the model’s robustness and clinical applicability.

Creator

Creighton University, University of Illinois College of Medicine, Quillen College of Medicine

Information

Pediatrics or Adult

Adult

Speciality

Oncology

Modality

Dermoscopy

Training

1,000 dermoscopy images

Github

Publication

FDA

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