Article

Machine Learning Approaches for Skin Neoplasm Diagnosis

2024-05-14

Abstract excerpt

Approaches for skin neoplasm diagnosis include physical exam, skin biopsy, lab tests of biopsy samples, and image analyses. These approaches often involve error-prone and time-consuming processes. Recent studies show that machine learning has promises to effectively classify skin images into different classes such as melanoma and melanocytic nevi. In this work, we investigate machine learning approaches to enhance...

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Literature Corpus work: 787237dd-7829-5823-9e7f-ccff2c529baf
DOI: 10.1101/2024.05.12.593773

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