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ArticleOnline nowOpen access Affiliations & Notes 1Laboratory of Tumor Microenvironment and Therapeutic Resistance, Department of Oncology, KU Leuven, Leuven, 3000, Belgium 2Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, 3000, Belgium 3VIB Center for Cancer Biology Research, Leuven, 3000, Belgium 4Department of Applied Computational Cancer Research, Institute for AI in Medicine (IKIM), University Hospital Essen, Essen, 45147, Germany...
Abstract Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
Abstract Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence (AI) has proven to be helpful for enhancing melanoma detection. However, there are few prospective studies confirming these promising results.
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