Cervical Cancer Cell Dataset
| Dataset | year | Preparation | Terminology | Task | Description | Link |
|---|---|---|---|---|---|---|
| Herlev (Jantzen et al. 2005) | 2005 CPS | three-tiers dysplasia | Classification; Segmentation | 917 cells in 7 classes | Link | |
| ISBI 2014 (Lu et al. 2015) | 2014 LBC | Segmentation | 16 EDF cell images and 945 synthetic images | Link 链接有效性存疑 | ||
| ISBI 2015 (Lu et al. 2016) | 2015 LBC | Segmentation | 17 multi-layer cervical cell volumes | Link 链接有效性存疑 | ||
| SIPaKMeD (Plissiti et al. 2018) | 2018 CPS | cytological morphology Classification | 4,049 cervical cells in 5 categories | Link 链接有效性存疑 | ||
| CERVIX93 (Phoulady and Mouton 2018) | 2018 LBC | TBS | Classification; Detection | 93 stacks of images with 2,705 annotated nuclei | Link | |
| BHS (Araújo et al. 2019) | 2019 CPS | Segmentation | 194 images | Link | ||
| BTTFA (Zhang et al. 2019) | 2019 LBC | Segmentation | 104 cervical LBC images | Link | ||
| Mendeley LBC (Hussain et al. 2020) | 2020 LBC | TBS | Classification | 963 LBC images in 4 classes | Link | |
| Cric (Rezende et al. 2021) | 2021 CPS | TBS | Classification | 400 images with 11,534 cells | Link 链接有效性存疑 | |
| Comparison Detector (Liang et al. 2021) | 2021 LBC | TBS | Detection | 7,410 images with 48,587 objects in 11 categories | Link | |
| RepoMedUNM (Riana et al. 2021) | 2021 LBC + CPS | TBS | Classification | 6,168 Pap smear cell images | Link | |
| CCEDD (Liu et al. 2022) | 2022 LBC | Edge Detection; Segmentation | 686 raw cervical images and 33,614 cut images | Link | ||
| Cx22 (Liu et al. 2022) | 2022 LBC | Segmentation | 1,320 images of 14,946 cellular instances | Link |