12 papers:
ICPR-2014-McCarthyCO #classification #image- The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images (NM, PC, GO), pp. 3269–3273.
VLDB-2012-WangHLWZS #cpu #gpu #hybrid #image- Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems (KW, YH, RL, FW, XZ, JHS), pp. 1543–1554.
- ICPR-2012-SanLH #detection
- Constrained-MSER detection of retinal pathology (GLYS, MLL, WH), pp. 2059–2062.
CIKM-2011-MartinezL #information management- Information extraction from pathology reports in a hospital setting (DM, YL), pp. 1877–1882.
- ICPR-2010-DundarBRJSG #approach #classification #learning #multi #towards
- A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides (MD, SB, VCR, RKJ, OS, MNG), pp. 2732–2735.
- ICPR-2010-GongLTPLLTZ #automation #framework #image #statistics
- Automatic Pathology Annotation on Medical Images: A Statistical Machine Translation Framework (TG, SL, CLT, BCP, CCTL, CKL, QT, ZZ), pp. 2504–2507.
SAC-2008-CostaCFANF #metric- Pathological voice discrimination based on entropy measurements (SCC, SC, HF, NA, BGAN, JMF), pp. 1424–1425.
- SAC-2008-CostaNFC #analysis #assessment #parametricity
- Parametric cepstral analysis for pathological voice assessment (SCC, BGAN, JMF, SC), pp. 1410–1414.
MLDM-2005-LiFKL #automation #image #modelling #segmentation #using- Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM (SL, TF, AK, SL), pp. 314–324.
ESEC-FSE-2005-BakerBJKTMB #detection #diagrams #semantics #sequence chart #uml- Detecting and resolving semantic pathologies in UML sequence diagrams (PB, PB, CJ, DJK, RT, BM, SB), pp. 50–59.
- ICPR-1998-AdigaC #image #segmentation #using
- Segmentation of volumetric histo-pathological images by surface following using constrained snakes (PSUA, BBC), pp. 1674–1676.
- ICPR-1998-ComaniciuMF #image #retrieval
- Shape-based image indexing and retrieval for diagnostic pathology (DC, PM, DJF), pp. 902–904.
