(3 votes)Editor: Allan Halpern
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| Description | This chapter provides a very nice up to date overview of artificial intelligence (AI) as well as the vision on computer-assisted diagnosis in dermoscopy. It explains strategies such deep learning etc. | ||
| Author(s) | Allan Halpern · Philipp Tschandl · Ralph P. Braun | ||
| Responsible author | Allan Halpern → send e-mail | ||
| Status | released | ||
| Status update | July 13, 2020 | ||
| Status by | Ralph P. Braun | ||
This chapter provides a very nice up to date overview of artificial intelligence (AI) as well as the vision on computer-assisted diagnosis in dermoscopy. It explains strategies such deep learning etc.
It has the following subchapters:
| Automated diagnosis | Philipp Tschandl |
| Introduction to computer assisted diagnosis | Allan Halpern |
| ISIC project | Ofer Reiter |
Computer, Machine vision, Computer assisted diagnosis, Ai, Artificial intelligence, Deep learning Computer Assisted Diagnosis – cite! Computer Assisted Diagnosis (message) Computer Assisted Diagnosis – participate!
is the identification of the nature and cause of a certain phenomenon. Diagnosis is used in many different disciplines with variations in the use of logic, analytics, and experience to determine "cause and effect". In systems engineering and computer science, it is typically used to determine the causes of symptoms, mitigations, and solutions
The examination of [skin lesions] with a 'dermatoscope'. This traditionally consists of a magnifier (typically x10), a non-polarised light source, a transparent plate and a liquid medium between the instrument and the skin, and allows inspection of skin lesions unobstructed by skin surface reflections. Modern dermatoscopes dispense with the use of liquid medium and instead use polarised light to cancel out skin surface reflections.