{"id":5246,"date":"2024-05-05T13:06:34","date_gmt":"2024-05-05T13:06:34","guid":{"rendered":"https:\/\/mycetoma.edu.sd\/?p=5246"},"modified":"2024-05-05T16:48:50","modified_gmt":"2024-05-05T16:48:50","slug":"5246","status":"publish","type":"post","link":"https:\/\/mycetoma.edu.sd\/?p=5246","title":{"rendered":""},"content":{"rendered":"<h1 style=\"text-align: left;\"><span style=\"color: #9d0b0f;\">Tasks<\/span><\/h1>\n<p style=\"text-align: justify;\">Participants are tasked with developing algorithms that can effectively detect and classify Mycetoma from histopathological images.<\/p>\n<h3 style=\"text-align: left;\"><span style=\"color: #808080;\">Task 1: Detection of Mycetoma Grains<\/span><\/h3>\n<ul style=\"text-align: justify;\">\n<li><strong>Objective:<\/strong>\u00a0Develop an algorithm capable of\u00a0<strong>accurately detecting the presence of Mycetoma grains<\/strong>\u00a0within the provided histopathological images.<\/li>\n<li><strong>Background:<\/strong>\u00a0Mycetoma grains are indicative of the disease, and their accurate detection is crucial for correct diagnosis and subsequent treatment planning.<\/li>\n<li><strong>Output Specification:<\/strong>\u00a0Algorithms should output the boundary definitions of each detected Mycetoma grain within the images.<\/li>\n<\/ul>\n<h3 style=\"text-align: left;\"><span style=\"color: #808080;\">Task 2: Classification of Mycetoma Type<\/span><\/h3>\n<ul style=\"text-align: justify;\">\n<li><strong>Objective: Classify detected Mycetoma grains<\/strong>\u00a0into one of two categories:\u00a0<strong>Actinomycetoma\u00a0<\/strong>(caused by bacteria) or\u00a0<strong>Eumycetoma\u00a0<\/strong>(caused by fungi).<\/li>\n<li><strong>Background:<\/strong>\u00a0The type of Mycetoma significantly affects treatment decisions. Actinomycetoma is generally treated with antibiotics, while Eumycetoma often requires antifungal medications and sometimes surgical intervention.<\/li>\n<li><strong>Output Specification:<\/strong>\u00a0For each detected Mycetoma grain, the algorithm should output a classification label indicating whether it is Actinomycetoma or Eumycetoma.<\/li>\n<\/ul>\n<h3 style=\"text-align: left;\"><span style=\"color: #808080;\">Data Use and Integration<\/span><\/h3>\n<ul style=\"text-align: justify;\">\n<li>Participants are encouraged to utilize the training data provided to develop their detection and classification models. While additional external data and\/or pre-trained models can be incorporated, transparency in their use is required for submission evaluation.<\/li>\n<\/ul>\n<h3 style=\"text-align: left;\"><span style=\"color: #808080;\">Algorithm Development<\/span><\/h3>\n<ul>\n<li style=\"text-align: justify;\"><strong>Development Environment:<\/strong>\u00a0Participants may choose their development environment and tools but must ensure that their submission is compatible with the evaluation platform specified by the challenge organizers.<\/li>\n<li style=\"text-align: justify;\"><strong>Interpretability:<\/strong>\u00a0While not a requirement, the ability to explain decisions made by the algorithm will be viewed favourably, as it enhances trust in automated systems by clinicians.<\/li>\n<li style=\"text-align: justify;\">Participants are encouraged to share their codes in the public repositories.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Tasks Participants are tasked with developing algorithms that can effectively detect and classify Mycetoma from histopathological images. Task 1: Detection of Mycetoma Grains Objective:\u00a0Develop an algorithm capable of\u00a0accurately detecting the presence of Mycetoma grains\u00a0within the provided histopathological images. Background:\u00a0Mycetoma grains are indicative of the disease, and their accurate detection is crucial for correct diagnosis and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-5246","post","type-post","status-publish","format-standard","hentry","category-maicetoma"],"_links":{"self":[{"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=\/wp\/v2\/posts\/5246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5246"}],"version-history":[{"count":7,"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=\/wp\/v2\/posts\/5246\/revisions"}],"predecessor-version":[{"id":5332,"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=\/wp\/v2\/posts\/5246\/revisions\/5332"}],"wp:attachment":[{"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycetoma.edu.sd\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}