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

本数据集收录了用于题为《一种用于自动识别中性粒细胞（neutrophils）胞质异常的深度学习方法》（A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils）的研究的外周血涂片中性粒细胞数字图像。本数据集包含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）、颗粒减少中性粒细胞（Hypogranulated neutrophils, HYP）、含冷球蛋白的中性粒细胞（neutrophils containing cryoglobulins, CRY）、含杜勒小体的中性粒细胞（Döhle bodies, DB）、豪焦小体样包涵体（Howell-Jolly body-like inclusions, HJBLI）、绿蓝色死亡包涵体（green-blue inclusions of death, GBI）以及吞噬细菌的中性粒细胞（phagocytosed bacteria, BAC）。注：本数据集关联由Kevin Barrera Llanga、José Rodellar、Santiago Alférez与Anna Merino发表于《Computers in Biology and Medicine》的上述论文。使用本数据集时，请引用该论文：https://doi.org/10.1016/j.compbiomed.2024.108691