Vitor Werneck Krauss Silva

TL;DR: A multiple instance learning-based deep learning system that uses only the reported diagnoses as labels for training, thereby avoiding expensive and time-consuming pixel-wise manual annotations, and has the ability to train accurate classification models at unprecedented scale.

TL;DR: It is suggested that DNA MMR deficiency indeed occurs in biliary tumors, albeit infrequently, and the presence of MMR deficiency has been shown to have different implications with regard to its association with Lynch syndrome, tumor histological features, and other clinical characteristics, when compared with non-biliary tumors or among the bile ducts from the different segments of the biliary system.

TL;DR: A dataset consisting of 12,160 slides, two orders of magnitude larger than previous datasets in pathology and equivalent to 25 times the pixel count of the entire ImageNet dataset is gathered to train a deep learning model under the Multiple Instance Learning (MIL) assumption.

TL;DR: This study compared expert cytomorphologic assessments of differentiation in pancreatic neuroendocrine neoplasms in a multi‐institutional study.

TL;DR: The authors describe the cytologic features of grade 3 WD pancreatic neuroendocrine neoplasm compared with grade 2 neoplasms and NEC.