A carregar...
Publicação
IMAGE ANALYSIS AND MACHINE LEARNING CLASSIFICATION FOR SKIN CANCER THERMAL IMAGES USING OPEN SOURCE TOOLS
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 163.96 KB | Adobe PDF |
Orientador(es)
Resumo(s)
The incidence of skin cancer cases is constantly growing,
causing a great burden in health care systems. The interest
in using infrared thermal (IRT) imaging to assess atypical
skin temperature values associated with skin lesions has
grown, as it allows an innocuous and fast evaluation. The
processing, collection, and integration of IRT parameters
is a challenging task, becoming a tendency to adopt ma chine learning (ML) strategies. Still, there is not a great
number of published research focused on the conception
of applications or platforms to perform these tasks. The
main aim of this work is the conception and development
of two open-source interfaces, using Python programming
language, to facilitate and assist in the performance of skin
cancer thermograms' image analysis and classification.