PCMMD: Plasma Cells for Multiple Myeloma Diagnosis

PCMMD (Plasma Cells for Multiple Myeloma Diagnosis) is an important resource for training and validating Artificial Intelligence (AI) approaches to automate cell identification, supporting studies on MM in developing countries, and discovering approaches regarding other diseases affecting various cell types in diverse populations. The dataset is organized into three sets of cells stained with Wright-Giemsa:

- The first set contains 3,546 cells, with 54% labeled as non-plasma and 46% as plasma cells;
- The second set includes 2,021 cells organized by patients, along with their respective diagnoses;
- The third set comprises 1,615 plasma and 1,931 non-plasma cells, individually segmented without background.

All sets were used to train Deep Neural Network models, whose details and parameters are detailed in the following repository:

https://github.com/LabIA-UFBA/MMDB