{"action":"opened","issue":{"url":"https://api.github.com/repos/paulomaia20/avclf_daco2017/issues/6","repository_url":"https://api.github.com/repos/paulomaia20/avclf_daco2017","labels_url":"https://api.github.com/repos/paulomaia20/avclf_daco2017/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/paulomaia20/avclf_daco2017/issues/6/comments","events_url":"https://api.github.com/repos/paulomaia20/avclf_daco2017/issues/6/events","html_url":"https://github.com/paulomaia20/avclf_daco2017/issues/6","id":275732459,"number":6,"title":"Optic Disk Detection - How and why?","user":{"login":"paulomaia20","id":28792872,"avatar_url":"https://avatars2.githubusercontent.com/u/28792872?v=4","gravatar_id":"","url":"https://api.github.com/users/paulomaia20","html_url":"https://github.com/paulomaia20","followers_url":"https://api.github.com/users/paulomaia20/followers","following_url":"https://api.github.com/users/paulomaia20/following{/other_user}","gists_url":"https://api.github.com/users/paulomaia20/gists{/gist_id}","starred_url":"https://api.github.com/users/paulomaia20/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/paulomaia20/subscriptions","organizations_url":"https://api.github.com/users/paulomaia20/orgs","repos_url":"https://api.github.com/users/paulomaia20/repos","events_url":"https://api.github.com/users/paulomaia20/events{/privacy}","received_events_url":"https://api.github.com/users/paulomaia20/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-11-21T14:31:06Z","updated_at":"2017-11-21T14:31:06Z","closed_at":null,"author_association":"OWNER","body":"\r\n\r\n1. Ver artigo Grisan - dividir para reinar\r\n\r\nThe problem is complicated by the similarity in the descriptive features of these two structures and by the contrast and luminosity variability of the retina. We developed a new algorithm for classifying the vessels, which exploits the peculiarities of retinal images. By applying a divide et impera approach that partitioned a concentric zone around the optic disc into quadrants, we were able to perform a more robust local classification analysis\r\n\r\nClassifica bem a região em redor do disco ótico, que tem mais informação e depois propaga as labels. Acho que é a melhor maneira de fazer - se adicionarmos os pontos mais distantes do disco otico, que sao semelhantes nas veias e nas arterias, vao estar a criar um enviesamento do classificador nessa direção, para alguns classificadores. Para os SVM acho que é mais robusto, visto que só importa os support vectors , e ao acrescentar mais pontos nao modifica o resultado. \r\n"}}
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