A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils - Dataset

This dataset contains digital images of neutrophils from peripheral blood smears used in the study titled "A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils". The dataset includes 5605 images of neutrophils categorized into seven groups: Normal neutrophils (NEU), Hypogranulated neutrophils (HYP), neutrophils containing cryoglobulins (CRY), Döhle bodies (DB), Howell-Jolly body-like inclusions (HJBLI), green-blue inclusions of death (GBI), and phagocytosed bacteria (BAC).

Note: This dataset is associated with the article "A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils" by Kevin Barrera Llanga, José Rodellar, Santiago Alférez, and Anna Merino, published in Computers in Biology and Medicine. When using this data set, please cite the following article https://doi.org/10.1016/j.compbiomed.2024.108691

本数据集包含来自外周血涂片的中性粒细胞数字化图像，用于题为《中性粒细胞胞质异常自动识别的深度学习方法》的研究。本数据集共收录5605张中性粒细胞图像，分为7个类别：正常中性粒细胞（Normal neutrophils，NEU）、颗粒缺乏中性粒细胞（Hypogranulated neutrophils，HYP）、含冷球蛋白的中性粒细胞（neutrophils containing cryoglobulins，CRY）、杜勒小体（Döhle bodies，DB）、豪焦小体样包涵体（Howell-Jolly body-like inclusions，HJBLI）、死亡相关蓝绿色包涵体（green-blue inclusions of death，GBI）以及吞噬细菌的中性粒细胞（phagocytosed bacteria，BAC）。注：本数据集配套于Kevin Barrera Llanga、José Rodellar、Santiago Alférez与Anna Merino发表于《Computers in Biology and Medicine》的论文《中性粒细胞胞质异常自动识别的深度学习方法》。使用本数据集时，请引用该论文：https://doi.org/10.1016/j.compbiomed.2024.108691