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» Active Volume Models for Medical Image Segmentation
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CVGIP
2004
175views more  CVGIP 2004»
14 years 9 months ago
A subdivision-based deformable model for surface reconstruction of unknown topology
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...
Ye Duan, Hong Qin
ICANN
2007
Springer
15 years 3 months ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 10 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
ICIP
2010
IEEE
14 years 7 months ago
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data
Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
JHSN
2000
390views more  JHSN 2000»
14 years 9 months ago
Telemedicine: challenges and opportunities
Telemedicine is many things to many people. Only until a few years ago, telemedicine was equated to video teleconferencing between physicians, while nowadays, perhaps the most acti...
Sang-goo Lee, Seong K. Mun, Prakash Jha, Betty Ann...