Mycetoma MicroImage: Detect and classify

Mycetoma is a chronic granulomatous inflammatory disease reported worldwide but endemic in tropical and subtropical areas. It was included in the World Health Organization (WHO) Neglected Tropical Disease (NTD) list in 2016. Mycetoma can be caused either by certain types of bacteria (Actinomycetoma, AcM) or fungi (Eumycetoma, EuM). Identification of mycetoma types plays a significant role in the treatment of mycetoma. An incorrect diagnosis of mycetoma can seriously affect the patient and the disease prognosis and outcome.

The proposed challenge will explore the feasibility of using AI to effectively diagnose mycetoma from histopathological microscopic images of mycetoma grains. This challenge is the first of its kind to address mycetoma diagnosis. It aims to promote the development of AI and computer vision solutions for the automatic detection of mycetoma infection in histopathological microscopic images and provides a classification of the disease as EuM or AcM.

Researchers and data scientists from around the world are invited to participate in this challenge to advance the early diagnosis and management of mycetoma, ultimately improving patient outcomes and healthcare in affected regions.