May 26, 2022, 1:12 a.m. | Upender Kalwa, Christopher Legner, Taejoon Kong, Santosh Pandey

cs.CV updates on arXiv.org arxiv.org

Among the different types of skin cancer, melanoma is considered to be the
deadliest and is difficult to treat at advanced stages. Detection of melanoma
at earlier stages can lead to reduced mortality rates. Desktop-based
computer-aided systems have been developed to assist dermatologists with early
diagnosis. However, there is significant interest in developing portable,
at-home melanoma diagnostic systems which can assess the risk of cancerous skin
lesions. Here, we present a smartphone application that combines image capture
capabilities with preprocessing …

application arxiv cancer diagnostics skin cancer smartphone

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Science Analyst- ML/DL/LLM

@ Mayo Clinic | Jacksonville, FL, United States

Machine Learning Research Scientist, Robustness and Uncertainty

@ Nuro, Inc. | Mountain View, California (HQ)