Proceedings Volume 9035 is from: Logo
15-20 February 2014
San Diego, California, United States
Front Matter: Volume 9035
Proc. SPIE 9035, Front Matter: Volume 9035, 903501 (5 May 2014); doi: 10.1117/12.2064848
Head, Neck, and Novel Methods
Proc. SPIE 9035, Early detection of Alzheimer's disease using histograms in a dissimilarity-based classification framework, 903502 (18 March 2014); doi: 10.1117/12.2042670
Proc. SPIE 9035, Multi-fractal texture features for brain tumor and edema segmentation, 903503 (18 March 2014); doi: 10.1117/12.2044264
Proc. SPIE 9035, Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers, 903504 (24 March 2014); doi: 10.1117/12.2043494
Proc. SPIE 9035, A ROC-based feature selection method for computer-aided detection and diagnosis, 903505 (24 March 2014); doi: 10.1117/12.2044003
Proc. SPIE 9035, Change detection of medical images using dictionary learning techniques and PCA, 903506 (24 March 2014); doi: 10.1117/12.2038751
Proc. SPIE 9035, Segmentation and automated measurement of chronic wound images: probability map approach, 903507 (24 March 2014); doi: 10.1117/12.2043791
Prostate and Colon I
Proc. SPIE 9035, Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection, 903508 (24 March 2014); doi: 10.1117/12.2043585
Proc. SPIE 9035, Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer, 903509 (24 March 2014); doi: 10.1117/12.2043937
Proc. SPIE 9035, Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images, 90350A (27 March 2014); doi: 10.1117/12.2044027
Proc. SPIE 9035, Automated polyp measurement based on colon structure decomposition for CT colonography, 90350B (20 March 2014); doi: 10.1117/12.2043648
Proc. SPIE 9035, An improved high order texture features extraction method with application to pathological diagnosis of colon lesions for CT colonography, 90350C (24 March 2014); doi: 10.1117/12.2043916
Vessels, Heart, and Eye I
Proc. SPIE 9035, An image-based software tool for screening retinal fundus images using vascular morphology and network transport analysis, 90350D (20 March 2014); doi: 10.1117/12.2043922
Proc. SPIE 9035, An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT, 90350E (18 March 2014); doi: 10.1117/12.2042226
Proc. SPIE 9035, Automated coronary artery calcification detection on low-dose chest CT images, 90350F (20 March 2014); doi: 10.1117/12.2043840
Proc. SPIE 9035, Supervised pixel classification for segmenting geographic atrophy in fundus autofluorescene images, 90350G (24 March 2014); doi: 10.1117/12.2043178
Lung, Chest, and Abdomen I
Proc. SPIE 9035, Detection, modeling and matching of pleural thickenings from CT data towards an early diagnosis of malignant pleural mesothelioma, 90350I (18 March 2014); doi: 10.1117/12.2043229
Proc. SPIE 9035, Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models, 90350J (18 March 2014); doi: 10.1117/12.2044333
Proc. SPIE 9035, Computer-aided detection of malpositioned endotracheal tubes in portable chest radiographs, 90350K (24 March 2014); doi: 10.1117/12.2043826
Proc. SPIE 9035, Artificial neural networks for automatic modelling of the pectus excavatum corrective prosthesis , 90350L (24 March 2014); doi: 10.1117/12.2043638
Proc. SPIE 9035, Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion, 90350M (18 March 2014); doi: 10.1117/12.2043737
Proc. SPIE 9035, Estimation of cartilaginous region in noncontrast CT of the chest, 90350N (18 March 2014); doi: 10.1117/12.2043117
Vessels, Heart, and Eye II
Proc. SPIE 9035, A joint estimation detection of Glaucoma progression in 3D spectral domain optical coherence tomography optic nerve head images, 90350O (18 March 2014); doi: 10.1117/12.2041980
Proc. SPIE 9035, Automated aortic calcification detection in low-dose chest CT images, 90350P (20 March 2014); doi: 10.1117/12.2043810
Proc. SPIE 9035, Segmentation and separation of venous vasculatures in liver CT images, 90350Q (24 March 2014); doi: 10.1117/12.2043406
Proc. SPIE 9035, Computerized luminal analysis for detection of non-calcified plaques in coronary CT angiography, 90350R (24 March 2014); doi: 10.1117/12.2043664
Proc. SPIE 9035, Automated discovery of structural features of the optic nerve head on the basis of image and genetic data, 90350S (20 March 2014); doi: 10.1117/12.2043798
Breast I
Proc. SPIE 9035, Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method, 90350T (20 March 2014); doi: 10.1117/12.2043708
Proc. SPIE 9035, Fully automated segmentation of whole breast in MR images by use of dynamic programming, 90350W (18 March 2014); doi: 10.1117/12.2043343
Proc. SPIE 9035, Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk, 90350X (20 March 2014); doi: 10.1117/12.2043719
Proc. SPIE 9035, Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters, 90350Y (18 March 2014); doi: 10.1117/12.2043513
Prostate and Colon II
Proc. SPIE 9035, Reducing false positives of small bowel segmentation on CT scans by localizing colon regions, 90350Z (20 March 2014); doi: 10.1117/12.2043344
Proc. SPIE 9035, An adaptive approach to centerline extraction for CT colonography using MAP-EM segmentation and distance field, 903510 (24 March 2014); doi: 10.1117/12.2043956
Proc. SPIE 9035, Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate, 903511 (27 March 2014); doi: 10.1117/12.2043352
Proc. SPIE 9035, Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI, 903512 (18 March 2014); doi: 10.1117/12.2043751
Proc. SPIE 9035, A prostate MRI atlas of biochemical failures following cancer treatment, 903513 (18 March 2014); doi: 10.1117/12.2043775
Musculoskeletal and Miscellaneous
Proc. SPIE 9035, Dynamic automated synovial imaging (DASI) for differential diagnosis of rheumatoid arthritis, 903514 (24 March 2014); doi: 10.1117/12.2042964
Proc. SPIE 9035, Automated identification of spinal cord and vertebras on sagittal MRI, 903515 (24 March 2014); doi: 10.1117/12.2043500
Proc. SPIE 9035, Adaptive geodesic transform for segmentation of vertebrae on CT images, 903516 (18 March 2014); doi: 10.1117/12.2043527
Proc. SPIE 9035, 2D segmentation of intervertebral discs and its degree of degeneration from T2-weighted magnetic resonance images, 903517 (20 March 2014); doi: 10.1117/12.2043755
Proc. SPIE 9035, Prediction of treatment response and metastatic disease in soft tissue sarcoma, 903518 (20 March 2014); doi: 10.1117/12.2043792
Proc. SPIE 9035, Automatic detection and segmentation of liver metastatic lesions on serial CT examinations, 903519 (24 March 2014); doi: 10.1117/12.2043718
Breast II
Proc. SPIE 9035, Identification of corresponding lesions in multiple mammographic views using star-shaped iso-contours, 90351A (24 March 2014); doi: 10.1117/12.2043218
Proc. SPIE 9035, Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images, 90351B (20 March 2014); doi: 10.1117/12.2042863
Proc. SPIE 9035, Lesion classification using clinical and visual data fusion by multiple kernel learning, 90351C (20 March 2014); doi: 10.1117/12.2043760
Proc. SPIE 9035, Breast density and parenchymal texture measures as potential risk factors for estrogen-receptor positive breast cancer, 90351D (27 March 2014); doi: 10.1117/12.2043710
Proc. SPIE 9035, Ultrasound breast lesion segmentation using adaptive parameters, 90351E (18 March 2014); doi: 10.1117/12.2041893
Lung, Chest, and Abdomen II
Proc. SPIE 9035, Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography, 90351F (18 March 2014); doi: 10.1117/12.2042272
Proc. SPIE 9035, Abdominal lymphadenopathy detection using random forest, 90351G (18 March 2014); doi: 10.1117/12.2043837