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Enhancing Mammogram Images with Segmentation and Colorization for Assisting Breast Cancer Detection
(2020)
This paper presents a combined sequence of the K-mean clustering of mammogram images to identify the region of interest and false colorization of the region of interest to enhance digital mammograms in the context of ...
Reducing Artifacts Impact on IVUS Automatic Segmentation Via Inpainting
(Asociación Argentina de Mecánica Computacional, 2014-09)
In this work we present a novel approach that uses digital inpainting to preprocess intravascular ultrasound (IVUS) images to reduce the impact of undesired features. Then, we automatically segment the arterial wall with ...
Clustering stability for automated color image segmentation
(Pergamon-Elsevier Science Ltd, 2017-11)
Clustering is a well-established technique for segmentation. However, clustering validation is rarely used for this purpose. In this work we adapt a clustering validation method, Clustering Stability (CS), to automatically ...
Laparoscopic surgical treatment for patients with short- and long-segment Barrett's esophagus: Which technique in which patient?
(International College of Surgeons, 2011)
Laparoscopic antireflux surgery is very successful in patients with short-segment Barrett's esophagus (BE), but in patients with long-segment BE, the results remain in discussion. In these patients, during the open era of ...
Corticotomy-assisted Le Fort I osteotomy: An alternative to segmentation of the maxilla in orthognathic surgery
(Lippincott Williams and Wilkins, 2015)
Purpose: The aim of this study was to describe a surgical technique that can be used to solve dentofacial deformities associated with narrow interradicular spaces of the anterior teeth of the maxilla and inadequate ...
LeFort I segmented osteotomy experience with piezosurgery in orthognathic surgery
(E-Century Publishing Corporation, 2014)
Informality and labour market segmentation: the case of Argentina
(2015-12)
The document evaluates the presence of segmentation in the Argentinean labour market. The analysis is centred on the comparison of the earnings of formal and informal workers. Two different approaches to the definition of ...
Multilevel Thresholding for Image Segmentation Using an Improved Electromagnetism Optimization Algorithm
Image segmentation is considered one of the most important tasks in image processing, which has several applications in different areas such as; industry agriculture, medicine, etc. In this paper, we develop the electromagnetic ...
SEMANTIC SEGMENTATION OF VEGETATION IMAGES ACQUIRED BY UNMANNED AERIAL VEHICLES USING AN ENSEMBLE OF CONVNETS
(Ieee, 2017-01-01)
Vegetation segmentation in high resolution images acquired by unmanned aerial vehicles (UAVs) is a challenging task that requires methods capable of learning high-level features while dealing with fine-grained data. In ...