نتائج البحث - Max Schmitt

  • يعرض 1 - 7 نتائج من 7
تنقيح النتائج
  1. 1
    Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective

    Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective حسب Tanja Jutzi, Eva Krieghoff‐Henning, Tim Holland‐Letz, Jochen Utikal, Axel Hauschild, Dirk Schadendorf, Wiebke Sondermann, Stefan Fröhling, Achim Hekler, Max Schmitt, Roman C. Maron, Titus J. Brinker

    منشور في 2020
    احصل على النص الكامل احصل على النص الكامل
    Artigo
    أضف إلى المفضلة
    محفوظ في:
  2. 2
    Deep learning can predict survival directly from histology in clear cell renal cell carcinoma

    Deep learning can predict survival directly from histology in clear cell renal cell carcinoma حسب Frederik Wessels, Max Schmitt, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Malin Nientiedt, Maximilian C. Kriegmair, Thomas Stefan Worst, Manuel Neuberger, Matthias Steeg, Zoran V. Popović, Timo Gaiser, Christof von Kalle, Jochen Utikal, Stefan Fröhling, Maurice Stephan Michel, Philipp Nuhn, Titus J. Brinker

    منشور في 2022
    احصل على النص الكامل احصل على النص الكامل
    Artigo
    أضف إلى المفضلة
    محفوظ في:
  3. 3
    Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

    Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study حسب Roman C. Maron, Jochen Utikal, Achim Hekler, Axel Hauschild, Elke Sattler, Wiebke Sondermann, Sebastian Haferkamp, Bastian Schilling, Markus V. Heppt, Philipp Jansen, Markus Reinholz, Cindy Franklin, Laurenz Schmitt, Daniela Hartmann, Eva Krieghoff‐Henning, Max Schmitt, Michael Weichenthal, Christof von Kalle, Stefan Fröhling, Titus J. Brinker

    منشور في 2020
    احصل على النص الكامل احصل على النص الكامل
    Artigo
    أضف إلى المفضلة
    محفوظ في:
  4. 4
    Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

    Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours حسب Titus J. Brinker, Lennard Kiehl, Max Schmitt, Tanja Jutzi, Eva Krieghoff‐Henning, Dieter Krahl, Heinz Kutzner, Patrick Gholam, Sebastian Haferkamp, Joachim Klode, Dirk Schadendorf, Achim Hekler, Stefan Fröhling, Jakob Nikolas Kather, Sarah Haggenmüller, Christof von Kalle, Markus V. Heppt, Franz J. Hilke, Kamran Ghoreschi, Markus Tiemann, Ulrike Wehkamp, Axel Hauschild, Michael Weichenthal, Jochen Utikal

    منشور في 2021
    احصل على النص الكامل احصل على النص الكامل
    Artigo
    أضف إلى المفضلة
    محفوظ في:
  5. 5
    Effects of Label Noise on Deep Learning-Based Skin Cancer Classification

    Effects of Label Noise on Deep Learning-Based Skin Cancer Classification حسب Achim Hekler, Jakob Nikolas Kather, Eva Krieghoff‐Henning, Jochen Utikal, Friedegund Meier, Frank Friedrich Gellrich, Julius Upmeier zu Belzen, Lars E. French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Carola Berking, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Benjamin Izar, Roman C. Maron, Max Schmitt, Stefan Fröhling, Daniel B. Lipka, Titus J. Brinker

    منشور في 2020
    احصل على النص الكامل احصل على النص الكامل
    Artigo
    أضف إلى المفضلة
    محفوظ في:
  6. 6
    Skin Cancer Classification Using Convolutional Neural Networks with Integrated Patient Data: A Systematic Review (Preprint)

    Skin Cancer Classification Using Convolutional Neural Networks with Integrated Patient Data: A Systematic Review (Preprint) حسب Julia Höhn, Achim Hekler, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Jochen Utikal, Friedegund Meier, Frank Friedrich Gellrich, Axel Hauschild, Lars E. French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Roman C. Maron, Max Schmitt, Tanja Jutzi, Stefan Fröhling, Daniel B. Lipka, Titus J. Brinker

    منشور في 2021
    احصل على النص الكامل احصل على النص الكامل
    Revisão
    أضف إلى المفضلة
    محفوظ في:
  7. 7
    Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics

    Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics حسب Sarah Haggenmüller, Max Schmitt, Eva Krieghoff‐Henning, Achim Hekler, Roman C. Maron, Christoph Wies, Jochen Utikal, Friedegund Meier, Sarah Hobelsberger, Frank Friedrich Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin Gabriel Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob Nikolas Kather, Stefan Fröhling, Titus J. Brinker

    منشور في 2024
    احصل على النص الكامل احصل على النص الكامل
    Artigo
    أضف إلى المفضلة
    محفوظ في:

أدوات البحث: