1301PDeep learning radiomics distinguishes intrapulmonary disease from metastases in immunotherapy-treated melanoma patients
ConclusionsDeep learning can help to discriminate between intrapulmonary granulomatous disease, indeterminate calcified granulomas and intrapulmonary lymph nodes in anti-PD-1 treated melanoma patients. Further model development is needed to overcome the imbalanced “real clinical scenario” data to classify granulomatous disease in melanoma patients treated with anti-PD-1 immune checkpoint inhibitor blockade for implementation in the clinical workflow.Legal entity responsible for the studyThe authors.FundingHas not received any funding.DisclosureAll authors have declared no conflicts of interest.
Source: Annals of Oncology - Category: Cancer & Oncology Source Type: research
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