Search Results for author: Philippe M. Burlina

Found 3 papers, 0 papers with code

AI Progress in Skin Lesion Analysis

no code implementations28 Sep 2020 Philippe M. Burlina, William Paul, Phil A. Mathew, Neil J. Joshi, Alison W. Rebman, John N. Aucott

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

no code implementations29 Jan 2018 Mike Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina

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.

regression Semantic Segmentation

Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning

no code implementations8 Dec 2017 Jared Markowitz, Aurora C. Schmidt, Philippe M. Burlina, I-Jeng Wang

We address zero-shot (ZS) learning, building upon prior work in hierarchical classification by combining it with approaches based on semantic attribute estimation.

General Classification Zero-Shot Learning

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