SIPaKMeD (SIPaKMeD Pap Smear dataset)

SIPaKMeD数据库由已从Pap涂片幻灯片的966簇细胞图像手动裁剪的分离细胞的4049图像组成。这些图像是通过适用于光学显微镜的CCD相机获取的。细胞图像分为五类，包括正常，异常和良性细胞。

The SIPaKMeD database consists of 4049 isolated cell images manually cropped from 966 cell clusters on Pap smear slides. These images were acquired using a CCD camera suitable for optical microscopy. The cell images are divided into five categories, including normal, abnormal and benign cells.

搜集汇总

背景与挑战

背景概述

SIPaKMeD是一个包含4049张Pap涂片细胞图像的数据集，用于图像分类任务，涵盖正常、异常和良性细胞五种类别。该数据集由约阿尼纳大学于2018年发布，总大小为6.4GB。