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ISBI
2008
IEEE
16 years 7 months ago
Advanced level-set based multiple-cell segmentation and tracking in time-lapse fluorescence microscopy images
Segmentation and tracking of cells in fluorescence microscopy image sequences is an important task in many biological studies into cell migration as well as intracellular dynamics...
Oleh Dzyubachyk, Wiro J. Niessen, Erik H. W. Meije...
ECIR
2009
Springer
16 years 3 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
CIARP
2009
Springer
15 years 10 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
191
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APVIS
2010
15 years 8 months ago
Explorable images for visualizing volume data
We present a technique which automatically converts a small number of single-view volume rendered images of the same 3D data set into a compact representation of that data set. Th...
Anna Tikhonova, Carlos D. Correa, Kwan-Liu Ma
ESWA
2008
127views more  ESWA 2008»
15 years 6 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...