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Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis [data]
Jul 7, 2023
Kriegsmann, Mark; Kriegsmann, Katharina; Steinbuss, Georg; Zgorzelski, Christiane; Albrecht, Thomas; Heinrich, Stefan; Farkas, Stefan; Roth, Wilfried; Hausen, Anne; Gaida, Matthias M., 2023, "Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis [data]", https://doi.org/10.11588/data/YAZWJW, heiDATA, V1, UNF:6:gpQyF/jPYXHbW7GvjUboGQ== [fileUNF]
Differentiation of neoplastic and non-neoplastic liver lesions using routine histological tissue sections can be challenging. Correct classification is paramount to forecast prognosis and to select the correct therapy. Deep learning algorithms have recently been suggested to supp...
Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections [data]
Mar 2, 2023
Kriegsmann, Katharina; Lobers, Fritjof; Zgorzelski, Christiane; Kriegsmann, Jörg; Meliß, Rolf Rüdiger; Sack, Ulrich; Steinbuss,Georg; Kriegsmann,Mark, 2023, "Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections [data]", https://doi.org/10.11588/data/7QCR8S, heiDATA, V1
Basal cell carcinoma (BCC), squamous cell carcinoma (SqCC) and melanoma are among the most common cancer types. Correct diagnosis based on histological evaluation after biopsy or excision is paramount for adequate therapy stratification. Deep learning on histological slides has b...
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