Search Results for author:
Found 3 papers, 0 papers with code
AI Progress in Skin Lesion Analysis
We examine progress in the use of AI for detecting skin lesions, with particular emphasis on the erythema migrans rash of acute Lyme disease, and other lesions, such as those from conditions like herpes zoster (shingles), tinea corporis, erythema multiforme, cellulitis, insect bites, or tick bites.
Deep Learning based Retinal OCT Segmentation
The results show that the proposed methods compare favorably with state of the art techniques, resulting in the smallest mean unsigned error values and associated standard deviations, and performance is comparable with human annotation of retinal layers from OCT when there is only mild retinopathy.
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning
We address zero-shot (ZS) learning, building upon prior work in hierarchical classification by combining it with approaches based on semantic attribute estimation.
