Banca de DEFESA: ADDSON ARAÚJO DA COSTA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : ADDSON ARAÚJO DA COSTA
DATA : 21/07/2016
HORA: 10:00
LOCAL: Sala de Reuniões - DIMAp
TÍTULO:

SALSA - A Simple Automatic Lung Segmentation Algorithm


PALAVRAS-CHAVES:

Thresholding, image segmentation, lung segmentation, lobe separation.


PÁGINAS: 80
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
ESPECIALIDADE: Processamento Gráfico (Graphics)
RESUMO:

The accurate segmentation of pulmonary tissue is of great importance for several diagnostic tasks. A simple and fast algorithm for performing lung segmentation is proposed here. The method combines several simple image processing operations to achieve the final segmentation and can be divided into two problems. The fisrt is the lung segmentation, that identifies regions such as backgroung, trachea, vessels, and left and right lungs, and it is complicated by the presence of noise, artifacts, low contrast and diseases. The second is the lobe segmentation, where the left lung is divided into two lobes, the upper and lower lobes, and the right into three lobes, the upper, middle and lower lobes. This second problem is harder due to the fact that the membranes dividing the lobes, the pleurae, are very thin and are not clearly visualized in the computerized tomography exams, besides the possible occurence of lobectomies (surgical lobe removal), diseases that may degrade the image qulaity, or noise during the image acquisition. Both methods were developed in order to produce an authomatic method, and we have already produced good validated results in the first problem, using the testing methodology of the lung segmentation challenge LOLA11.

 

 


MEMBROS DA BANCA:
Presidente - 2177445 - BRUNO MOTTA DE CARVALHO
Interno - 1350250 - ANNE MAGALY DE PAULA CANUTO
Externo ao Programa - 2929823 - RAFAEL BESERRA GOMES
Externo à Instituição - WILFREDO BLANCO FIGUEROLA - UERN
Notícia cadastrada em: 13/07/2016 07:52
SIGAA | Superintendência de Tecnologia da Informação - (84) 3342 2210 | Copyright © 2006-2024 - UFRN - sigaa08-producao.info.ufrn.br.sigaa08-producao