JAMA network open
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Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown promising results. These approaches, however, require a laborious annotation process and are fragmented. ⋯ Results of this study suggest that the proposed attention-based deep neural network framework for BE and esophageal adenocarcinoma detection is important because it is based solely on tissue-level annotations, unlike existing methods that are based on regions of interest. This new model is expected to open avenues for applying deep learning to digital pathology.
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The persistence of inequities that disadvantage women physicians remains empirically underexplained. Understanding the cultural factors that are associated with disparities in harassment, discrimination, remuneration, and career trajectory are critical to addressing inequities. ⋯ In this study, senior men physicians' perceptions of gender equity were different from lived experiences of gender inequity reported by junior women physicians. This demographic mismatch between perceptions and experiences of gender equity in medicine may explain the lack of action by leaders and decision-makers in medicine to mitigate disparities.