Loading...
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 795.89 KB | Adobe PDF |
Advisor(s)
Abstract(s)
The usage of expert systems to aid in medical decisions has been employed since 1980s in distinct ap plications. With the high demands of medical care and limited human resources, these technologies are
required more than ever. Skin cancer has been one of the pathologies with higher growth, which suf fers from lack of dermatology experts in most of the affected geographical areas. A permanent record
of examination that can be further analyzed are medical imaging modalities. Most of these modalities
were also assessed along with machine learning classification methods. It is the aim of this research to
provide background information about skin cancer types, medical imaging modalities, data mining and
machine learning methods, and their application on skin cancer imaging, as well as the disclosure of a
proposal of a multi-imaging modality decision support system for skin cancer diagnosis and treatment
assessment based in the most recent available technology. This is expected to be a reference for further
implementation of imaging-based clinical support systems.