Publications by authors named "A SCHRADER"

Histopathological analysis of whole slide images (WSIs) has seen a surge in the utilization of deep learning methods, particularly Convolutional Neural Networks (CNNs). However, CNNs often fail to capture the intricate spatial dependencies inherent in WSIs. Graph Neural Networks (GNNs) present a promising alternative, adept at directly modeling pairwise interactions and effectively discerning the topological tissue and cellular structures within WSIs.

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Background: With over 65,000 new cases per year in Germany, prostate cancer (PC) is the most common cancer in men in Germany. Localized PC is often treated by radical prostatectomy and has a very good prognosis. Postoperative quality of life (QoL) is significantly influenced by the side effects of surgery.

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In our study, the post-radiotherapy quality of life of prostate cancer patients who previously underwent transurethral resection of the prostate (TURP) is compared to those who had thulium laser enucleation of the prostate (ThuLEP) and those who had no prior surgery. It also aims to identify and assess risk factors affecting therapy tolerance in this patient group. We analyzed 132 patients with localized prostate cancer treated with definitive radiotherapy (RT), including 23 who had prior TURP and 19 who previously underwent ThuLEP.

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