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Innovative Skin Imaging Award from ISBS ’18

4th June 2018 - Andrew A.
The International Society for Biophysics and Imaging of the Skin (ISBS), informally formed in 1976 and formally constituted in 1993, gathers dermatologists, occupational physicians, physiologists, biochemists, pharmacologists, toxicologists, cosmetic scientists and engineers to share a common interest in the development, use and spread of knowledge on skin bioengineering and imaging techniques. On a two-year schedule, the ISBS holds international symposia, bringing together pioneers from the industry and academia from across the globe, to present and discuss innovations and state-of-the-art techniques, developments and instrumentation on skin imaging.
Dr. Pegah Kharazmi, presenting her work on deep-learning for skin cancer detection
The 33rd ISBS symposium was held from May 1st to May 4th, 2018, in San Diego, California. In this year’s ISBS, scientists from pioneering skin imaging industry, including Johnson & Johnson Inc., L’Oréal Technologies, Canfield Scientific, BrighTex BioPhotonics, Varenne Technologies and many more showcased their latest advancements in skin imaging and skin image analytics.

This year at ISBS, advancements in Artificial Intelligence and image analytics have had a huge impact on the emerging technologies. The performance of the demo systems on 3D facial modeling, advanced facial simulations and skin tagging was significantly improved by incorporating deep learning techniques. AI enabled systems are now in the right track to overcome the lighting consistency challenges and demonstrate a robust performance.
Dr. Pegah Kharazmi was announced as the recipient of the Ritter Award for Innovative skin imaging
Pegah Kharazmi, one of AltumView’s lead research scientists, was a podium presenter in this year’s congress, presenting her research on computer-aided skin cancer detection using a novel deep learning framework. This technology, which outperformed other state-of-the-art techniques by achieving the highest positive predictive value while preserving clinical interpretation of the features, provides a non-invasive fast skin cancer detection tool without the need for complex handcrafted feature extraction.

At the end of this year’s congress, Pegah won the “Johann Wilhelm Ritter” Award for Innovative Skin Imaging for her presented research on “A deep learning strategy for automated detection and localization of skin vasculature with application to basal cell carcinoma classification. This is the highest award of the meeting, which recognizes the best and most novel oral presentation of the congress. She will also give an invited scientific oral plenary talk at the next ISBS meeting, which will be held in the summer of 2020 in Berlin.