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112
Voted
CVPR
2006
IEEE
16 years 4 months ago
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
120
Voted
MICCAI
2009
Springer
15 years 12 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
127
Voted
ICCV
2011
IEEE
14 years 2 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
103
Voted
ECCV
2010
Springer
15 years 5 months ago
Multiple Hypothesis Video Segmentation from Superpixel Flows
Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised photometric segmentation of video sequences. MHVS segments arbitrarily long video streams by consider...
105
Voted
ICDAR
2005
IEEE
15 years 8 months ago
The Neural-based Segmentation of Cursive Words using Enhanced Heuristics
This paper presents an Enhanced Heuristic Segmenter (EHS) and an improved neural-based segmentation technique for segmenting cursive words and validating prospective segmentation ...
Chun Ki Cheng, Michael Blumenstein