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| Canola,Julio Carlos; Oliveira,Fabrício Singaretti de. |
| Specific software was used for reconstruction of spontaneous intracranial tumor volume from magnetic resonance images (MRI) in three dogs. Histopathologically confirmed meningioma, cystic meningioma, and choroid plexus tumors were evaluated before and after surgery. The software allowed the whole-volume segmentation of the skin, brain, tumor, edema, and cyst. Manipulation of the three-dimensional images (3D) allowed visualization of all anatomical structures, aided clinical understanding, surgical planning, and treatment monitoring. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Image segmentation; Magnetic resonance; Brain tumor; Dog. |
| Ano: 2007 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000400044 |
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| Meira,Luiz Antonio; Pereira,Lilian Elgalise Techio; Santos,Manoel Eduardo Rozalino; Tech,Adriano Rogério Bruno. |
| ABSTRACT Computer vision systems based on digital image processing have been proposed as alternative tools to traditional methods to estimate leaf area, replacing the most time-consuming steps and laboring manual measurements. However, many of the available applications are still based on manual determination of leaf dimensions or require excessive and laborious user interventions before providing results. USPLeaf was designed to process images containing single or multiple leaves, and automatically determine the leaf area without user intervention. The accuracy for leaf area measurements of the software was compared to the results obtained by the standard method, an electronic planimeter (LI-3100). The vegetal species, Mavuno grass (MAV, Urochloa hybrid)... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Image processing; Edge detection; Image segmentation; Information extraction. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400413 |
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