论文标题
在胎儿MRI中具有模糊和复杂边界的结构的轮廓骰子损失
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI
论文作者
论文摘要
MRI中胎儿结构的体积测量很耗时，并且容易发生错误，因此需要自动分割。由于胎盘模糊边界和胎儿脑皮层复杂的褶皱，用于旋转评估的胎盘分割和准确的胎儿脑分割尤其具有挑战性。在本文中，我们研究了对问题的轮廓骰子损失的使用，并将其与其他边界损失以及联合骰子和跨透镜损失进行了比较。通过侵蚀，扩张和XOR操作员有效地计算出每个切片的损失。我们描述了类似于轮廓骰子指标的损失的新表述。骰子损失和轮廓骰子的组合为胎盘分割带来了最佳性能。对于胎儿脑部分割，最佳性能的损失是结合骰子，其横向侧面损失，然后是轮廓骰子损失的骰子，其性能比其他边界损失更好。
Volumetric measurements of fetal structures in MRI are time consuming and error prone and therefore require automatic segmentation. Placenta segmentation and accurate fetal brain segmentation for gyrification assessment are particularly challenging because of the placenta fuzzy boundaries and the fetal brain cortex complex foldings. In this paper, we study the use of the Contour Dice loss for both problems and compare it to other boundary losses and to the combined Dice and Cross-Entropy loss. The loss is computed efficiently for each slice via erosion, dilation and XOR operators. We describe a new formulation of the loss akin to the Contour Dice metric. The combination of the Dice loss and the Contour Dice yielded the best performance for placenta segmentation. For fetal brain segmentation, the best performing loss was the combined Dice with Cross-Entropy loss followed by the Dice with Contour Dice loss, which performed better than other boundary losses.
