19 papers:
ICPR-2014-BayramogluKEANKH #approach #detection #image #machine learning #using- Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach (NB, MK, LE, MA, MN, JK, JH), pp. 3345–3350.
- ICPR-2014-HavaeiJL #classification #interactive #performance #segmentation
- Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification (MH, PMJ, HL), pp. 556–561.
- ICPR-2014-ZhouHG #predict
- Exploring Brain Tumor Heterogeneity for Survival Time Prediction (MZ, LOH, DBG), pp. 580–585.
SAC-2014-AminikhanghahiWSSJ #effectiveness #feature model #smarttech- Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening (SA, WW, SYS, SHS, SIJ), pp. 674–679.
CAV-2013-ReiterBCN #named- TTP: Tool for Tumor Progression (JGR, IB, KC, MAN), pp. 101–106.
CASE-2011-RatnakarZ #detection #using- An ultrasound system for tumor detection in soft tissues using low transient pulse (ARR, MZ), pp. 684–689.
- ICPR-2010-ChoPPKKALL #hybrid #segmentation #using
- Level-Set Segmentation of Brain Tumors Using a New Hybrid Speed Function (WC, JP, SYP, SHK, SWK, GA, MEL, GL), pp. 1545–1548.
- ICPR-2010-Machucho-CadenaB #3d #algebra #geometry #re-engineering #using
- 3D Reconstruction of Tumors for Applications in Laparoscopy Using Conformal Geometric Algebra (RMC, EBC), pp. 2532–2535.
- ICPR-2008-Machucho-CadenaCB #using
- Rendering of brain tumors using endoneurosonography (RMC, SdlCR, EBC), pp. 1–4.
KDD-2008-CuiDSAJ #learning- Learning methods for lung tumor markerless gating in image-guided radiotherapy (YC, JGD, GCS, BMA, SBJ), pp. 902–910.
- ICPR-v1-2006-LiHS #approach #bound #image #machine learning
- A Machine Learning Approach for Locating Boundaries of Liver Tumors in CT Images (YL, SH, KS), pp. 400–403.
- ICPR-v3-2004-DamLL #automation #interactive #segmentation
- Integrating Automatic and Interactive Brain Tumor Segmentation (ED, ML, MMJL), pp. 790–793.
- ICPR-v3-2004-GurevichM #analysis #image
- Method for Early Diagnostics of Lymphatic System Tumors on the Basis of the Analysis of Chromatin Constitution in Cell Nucleus Images (IBG, DM), pp. 806–809.
- ICPR-v1-2002-HiranoHTOE #3d #image #quantifier #using
- Quantification of Shrinkage of Lung Lobe from Chest CT Images Using the 3D Extended Voronoi Division and its Application to the Benign/Malignant Discrimination of Tumor Shadows (YH, JiH, JiT, HO, KE), pp. 751–754.
- ICPR-v1-2002-HoBG #3d #automation #contest #evolution #segmentation
- Level-Set Evolution with Region Competition: Automatic 3-D Segmentation of Brain Tumors (SH, EB, GG), p. 532–?.
- ICPR-v1-2002-MoonBLG #modelling #segmentation
- Model-Based Brain and Tumor Segmentation (NM, EB, KVL, GG), pp. 528–531.
- KDD-2002-FangHL #identification #using
- Tumor cell identification using features rules (BF, WH, MLL), pp. 495–500.
- ICPR-v4-2000-Egmont-PetersenFNHBVR #image #multi #network #segmentation #using
- Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features (MEP, AFF, WJN, PCWH, JLB, MAV, JHCR), pp. 4080–4083.
- ICPR-v4-2000-HatteryCLG #embedded #migration
- Optical Signatures of Small, Deeply Embedded, Tumor-Like Inclusions in Tissue-Like Turbid Media Based on a Random-Walk Theory of Photon Migration (DH, VC, MHL, AG), pp. 4348–4351.
