Jansen, Philipp

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

Brinker, T. J., Hekler, A., Enk, A. H., Klode, J., Hauschild, A., Berking, C., Schilling, B., Haferkamp, S., Schadendorf, D., Holland-Letz, T., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

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Pathologist-level classification of histopathological melanoma images with deep neural networks

Hekler, A., Utikal, J. S., Enk, A. H., Berking, C., Klode, J., Schadendorf, D., Jansen, P., Franklin, C., Holland-Letz, T., Krahl, D., et al. (2019) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 231

Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma

Duschner, N., Baguer, D. O., Schmidt, M., Griewank, K. G., Hadaschik, E., Hetzer, S., Wiepjes, B., Le'Clerc Arrastia, J., Jansen, P., Maass, P., et al. (2023) · JDDG: Journal der Deutschen Dermatologischen Gesellschaft

AI in cancer detectionNonmelanoma Skin Cancer Studies

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Deep learning based histological classification of adnex tumors

Jansen, P., Arrastia, J. L., Baguer, D. O., Schmidt, M., Landsberg, J., Wenzel, J., Emberger, M., Schadendorf, D., Hadaschik, E., Maass, P., et al. (2024) · European Journal of Cancer

AI in cancer detectionCancer and Skin Lesions

Cited by 8