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| 1 | Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps显示文摘AIM:To support probe-based confocal laser endomi-croscopy (pCLE) diagnosis by designing software for the automated classification of colonic polyps. METHODS:Intravenous fluorescein pCLE imaging of colorectal lesions was performed on patients under-going screening and surveillance colonoscopies, followed by polypectomies. All resected specimens were reviewed by a reference gastrointestinal pathologist blinded to pCLE information. Histopathology was used as the criterion standard for the differentiation between neoplastic and non-neoplastic lesions. The pCLE video sequences, recorded for each polyp, were analyzed off-line by 2 expert endoscopists who were blinded to the endoscopic characteristics and histopathology. These pCLE videos, along with their histopathology diagnosis, were used to train the automated classification software which is a content-based image retrieval technique followed by k-nearest neighbor classification. The performance of the off-line diagnosis of pCLE videos established by the 2 expert endoscopists was compared with that of automated pCLE software classification. All evaluations were performed using leave-one-patient- out cross-validation to avoid bias. RESULTS:Colorectal lesions (135) were imaged in 71 patients. Based on histopathology, 93 of these 135 lesions were neoplastic and 42 were non-neoplastic. The study found no statistical significance for the difference between the performance of automated pCLE software classification (accuracy 89.6%, sensitivity 92.5%, specificity 83.3%, using leave-one-patient-out cross-validation) and the performance of the off-line diagnosis of pCLE videos established by the 2 expert endoscopists (accuracy 89.6%, sensitivity 91.4%, specificity 85.7%). There was very low power (< 6%) to detect the observed differences. The 95% confidence intervals for equivalence testing were:-0.073 to 0.073 for accuracy, -0.068 to 0.089 for sensitivity and -0.18 to 0.13 for specificity. The classification software proposed in this study is not a 'black box' but an informative tool based on the query by example model that produces, as intermediate results, visually similar annotated videos that are directly interpretable by the endoscopist. CONCLUSION:The proposed software for automated classification of pCLE videos of colonic polyps achieves high performance, comparable to that of off-line diagnosis of pCLE videos established by expert endoscopists. | Barbara André Tom Vercauteren Anna M Buchner Murli Krishna Nicholas Ayache Michael B Wallace | 2012 | World Journal of Gastroenterology2012，18，39： | 5 |
| 2 | A Riemannian Framework for Tensor Computing显示文摘 | Xavier Pennec Pierre Fillard Nicholas Ayache | 2006 | International Journal of Computer Vision2006，，1： | 1 |
| 3 | A Riemannian Framework for Tensor Computing显示文摘 | Xavier Pennec Pierre Fillard Nicholas Ayache | 2006 | International Journal of Computer Vision2006，，1： | 1 |
| 4 | Medical Image Analysis: Progress over Two Decades and the Challenges Ahead显示文摘 | James s Duncan Nicholas Ayache | 2000 | IEEE Transaction on patter analysis and machine intelligence2000，22，1： | 1 |
| 5 | Medical/mage Analysis: Progress over Two Decades and the Challenges Ahead显示文摘 | James S Duncan Nicholas Ayache | 2000 | IEEE Tram on Pattern Analysis and Machine Intelligence2000，22，1： | 1 |
| 6 | A Riemannian Framework for Tensor Computing显示文摘 | Xavier Pennec Pierre Fillard Nicholas Ayache | 2006 | International Journal of Computer Vision2006，，1： | 1 |
| 7 | Real-time elastic deformation of soft tissues for surgery simulations显示文摘 | Herve delingette Nicholas Ayach | 1998 | RIA1998，10，： | 1 |
| 8 | Frequency-based nonrigid motion analysis: application to four dimensional medical images 显示文摘 | Nastar Chahab Ayache Nicholas | 1996 | IEEE Transactions on Pattern Analysis and Machine Intelligence1996，18，11： | 1 |
| 9 | Medical Image Analysis: Progress over Twe Decades and the Challenges Ahead 显示文摘 | James S Duncan Nicholas Ayache | 2000 | IEEE Trans on Pattern Analyss and Machine Intelligence2000，22，1： | 1 |
| 10 | Rigid, affine and locally affine registration of free-form surfaces显示文摘 | Jacques Feldmar Nicholas Ayache | 1996 | International Journal of Computer Vision1996，，2： | 1 |
| 11 | Realistic Simulation of the 3-D Growth of Brain Tumors in MR Images Coupling Diffusion with Biomechanical Deformation 显示文摘 | Olivier Clatz Maxime Sermesant Pierre-Yves Bondiau Herve Delingette Simon K Warfield Gregoire Malandain Nicholas Ayache | 2005 | IEEE TRANSACTIONS ON MEDICAL IMAGING (S0278-0062)2005，2400，： | 1 |
| 12 | Grid Powered Nonlinear Image Registration with Locally Adaptive Regularization显示文摘 | Stefanescu Radu Pennec Xavier Ayache Nicholas | 2004 | Medical Image Analysis2004，8，3： | 1 |
| 13 | A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation显示文摘 | Stéphane Cotin Hervé Delingette Nicholas Ayache | 2000 | The Visual Computer2000，，8： | 1 |
| 14 | Virtual Reality Applied to Hepatic Surgery Simulation: The Next Revolution显示文摘 | Jacques Marescaux Jean-Marie Clément Vincent Tassetti Christophe Koehl Stéphane Cotin Yves Russier Didier Mutter Hervé Delingette Nicholas Ayache | 1998 | Annals of Surgery1998，，5： | 1 |
| 15 | A hybrid elastic model allowing real-time cutting,deformations and force-feedback for surgery training and simulation 显示文摘 | Stephane Cotin Herve Delingette Nicholas Ayache | 2000 | Visual Computer2000，16，8： | 1 |
| 16 | Real-time elastic deformation of soft tissues for surgery simulations 显示文摘 | | 1998 | INRIA,No 3511,October 19981998，，： | 1 |
| 17 | Efficient Linear Elastic Models of Soft Tissues for Real-time Surgery Simulation 显示文摘 | | 1998 | INRIA,No 3510,October 19981998，，： | 1 |
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