PCMMD: A Novel Dataset of Plasma Cells to Support the Diagnosis of Multiple Myeloma.

ABSTRACT: Multiple Myeloma (MM) is a cytogenetically heterogeneous clonal plasma cell proliferative disease whose diagnosis is supported by analyses on histological slides of bone marrow aspirate. In summary, experts use a labor-intensive methodology to compute the ratio between plasma cells and non-plasma cells. Therefore, the key aspect of the methodology is identifying these cells, which relies on the experts' attention and experience. In this work, we present a valuable dataset comprising more than 5,000 plasma and non-plasma cells, labeled by experts, along with some patient diagnostics. We also share a Deep Neural Network model, as a benchmark, trained to identify and count plasma and non-plasma cells automatically. The contributions of this work are two-fold: (i) the labeled cells can be used

SUBMITTER: L B Andrade C 

PROVIDER: S-EPMC11772599 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature