Abstract:Lung squamous cell carcinoma in situ (SCIS) is the pre-invasive precursor lesion of lung squamous cell carcinoma (SCC). Only half of these lesions progress to invasive cancer, while a third undergo spontaneous regression. The ability to predict the evolution of SCIS lesions can significantly impact the management of lung cancer patients. Here, we present the use of the deep learning (DL) approach in order to predict the progression of SCIS. The dataset consisted of 112 H&E stained whole slide images (WSI) … Show more
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