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Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma
Published on Oct 17, 20113031 Views
In this paper, we propose to use advanced classification techniques with shape features for nuclei classification in tissue microarray images of renal cell carcinoma. Our aim is to improve the classif
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Chapter list
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma00:00
Outline00:15
Outline: The Problem & The Data Set00:34
The Problem - 100:37
The Problem - 201:16
Examples of MIB-1 grading02:08
Problems of MIB-1 Grading02:33
TMA – Analysis Pipeline03:16
Database Design03:44
Nucleus Segmentation04:24
Feature Extraction04:40
Outline: Probabilistic Latent Semantic Analysis05:12
Topic Models - 105:18
Topic Models (Text Analysis)05:54
Topic Models - 206:17
Topic Models - 306:56
Topic Models: PLSA07:29
pLSA07:54
Outline: Methodology and Results08:35
Methodology - 108:37
Methodology - 208:54
Methodology - 309:30
Results: SVMs09:56
Results: Other Classifiers10:59
Outline: Discussion and Future Work11:32
Discussion11:35
Future Work12:33
Acknowledgements13:09
Questions?13:24