MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images

This dataset provides the first comprehensive collection of histopathological images for the study and automated diagnosis of mycetoma, a neglected tropical disease. The dataset includes 864 microscopic images from 142 patients, annotated with binary masks for grain detection and segmentation. The images represent both eumycetoma (fungal, FM) and actinomycetoma (bacterial, BM) cases, offering a valuable resource for developing and evaluating AI models for disease classification and segmentation tasks. This dataset supports the advancement of digital pathology solutions.

Keywords: Mycetoma, histopathology diagnosis, Microscopic images, Image Analysis, Classification, Segmentation.