Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Chanda, Tirtha; Hauser, Katja; Hobelsberger, Sarah; Bucher, Tabea-Clara; Garcia, Carina Nogueira; Wies, Christoph; Kittler, Harald; Tschandl, Philipp; Navarrete‐Dechent, Cristián; Podlipnik, Sebastián; Chousakos, Emmanouil; Crnaric, Iva; Majstorovic, Jovana; Alhajwan, Linda; Foreman, Tanya; Peternel, Sandra; Sarap, Sergei; Özdemir, İrem; Barnhill, Raymond L.; Llamas‐Velasco, Mar; Poch, Gabriela; Korsing, Sören; Sondermann, Wiebke; Gellrich, Frank Friedrich; Heppt, Markus V.; Erdmann, Michael; Haferkamp, Sebastian; Drexler, Konstantin; Goebeler, Matthias; Schilling, Bastian; Utikal, Jochen; Ghoreschi, Kamran; Fröhling, Stefan; Krieghoff-Henning, Eva; Brinker, Titus J.

doi:10.48550/arxiv.2303.12806

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Diagnosis Of Melanoma With Modern Ai1

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2023

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“…The system is currently in clinical trials in eight German dermatological clinics. Together with our partners, we hope to provide an objective diagnostic assistance system for skin lesions that can be integrated into the clinical workflow using explainable AI [6] to enhance the trust in the diagnosis.…”

Section: Diagnosis Of Melanoma With Modern Aimentioning

confidence: 99%

CUVIS.AI: a new open source platform and three state-of-the-art applications of machine learning in hyperspectral imaging

Michels,

Briegel,

Brandes

et al. 2023

Imaging Spectrometry XXVI: Applications, Sensors, and Processing

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Hyperspectral imaging (HSI) is a technique that reveals hidden information that cannot be seen by the human eye or conventional cameras. However, HSI also poses many challenges such as high data dimensionality, complex signal processing and interpretation, and expensive hardware and software requirements. cuvis.ai is a new open source platform and scientific community that aims to make HSI more accessible, affordable and applicable for everyone. cuvis.ai leverages the power of modern AI concepts to unleash the full potential of HSI. We demonstrate the usefulness of cuvis.ai with three state-of-the-art applications of machine learning in HSI: detecting Alzheimer's disease, providing surgical guidance, and diagnosing melanoma.

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Section: Diagnosis Of Melanoma With Modern Aimentioning

confidence: 99%