镰状细胞病红细胞分类和计量的一种新型深度学习模型（英文版）

英文标题：A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease中文摘要：本文利用深度卷积神经网络来分类和量化镰状细胞贫血患者的红细胞形态，建立了包含 10,377 个细胞图像的数据集，使用 18 层神经网络架构，以 81% 的准确率鉴别出红细胞的三种不同形态，并使用了 SHAP 和 LIME 来进一步解释模型结果。英文摘要：The shape of erythrocytes or red blood cells is altered in severalpathological conditions. Therefore, identifying and quantifying differenterythrocyte shapes can help diagnose various diseases and assist in designing atreatment strategy. Machine Learning