Evaluating Image Training Systems for Medical Students

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http://id.loc.gov/authorities/names/n79058482

Degree Level

Master's

Degree

Master of Science

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Department of Computing Science

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Abstract

Skin cancer is one of the common and most fatal cancers. Therefore, it is important to be able to diagnose skin lesions and detect this cancer before it is too late. Learning to distinguish between sick and healthy lesions is key. However, there are two levels in which one can learn to distinguish between malignant (sick skin lesions) and benign (healthy skin lesions) cases and knowing which one is more effective is not a trivial task. The first learning level is known as basic level and consists of distinguishing between benign and malignant cases. The second level is the subordinate level and focuses on recognizing the subgroups of malignant and benign cases. In this work, we design an experiment to assess and compare the two learning levels, basic versus subordinate level learning. The results show that the participants of the basic level were better able to distinguish healthy from sick cases compared to participants of the subordinate level.

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http://purl.org/coar/resource_type/c_46ec

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This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.

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en

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