MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

The rapid spread of the new pandemic, i.e., COVID-19, has severely threatened global health. Deep-learning-based computer-aided screening, e.g., COVID-19 infected CT area segmentation, has attracted much attention. However, the publicly available COVID-19 training data are limited, easily causing ov...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Yu Qiu, Yun Liu, Shijie Li, Jing Xu
פורמט: Pré-impressão
שפה:אנגלית
יצא לאור: 2020
גישה מקוונת:https://doi.org/10.48550/arxiv.2004.09750
תגים: הוספת תג
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