Gastric Lymph nodes detection based on visual saliency and dictionary learning
| Autor: | Jing Bai, Yao Yao, Nuo Tong, Shuiping Gou, Chenjiao Wang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Stomach Feature extraction Gastric Lymph Node Cancer 02 engineering and technology 010501 environmental sciences medicine.disease 01 natural sciences medicine.anatomical_structure 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Computer vision Lymph Artificial intelligence business Dictionary learning Lymph node 0105 earth and related environmental sciences Visual saliency |
| Zdroj: | 2016 IEEE Region 10 Conference (TENCON). |
| DOI: | 10.1109/tencon.2016.7848554 |
| Popis: | Lymph nodes are key signs of cancer diagnosis for abdominal CT scans assessment. A lymph node detection scheme based on CT sequences images which only contain stomach and its surrounding tissue is proposed in this paper. However, lymph nodes are easily confused with its surrounding fat and vessels, and we firstly uses an improved visual attention algorithm to extract all suspicious targets. Then feature extraction and dictionary learning are utilized for classification and recognition to real lymph nodes. Experimental results show that the proposed detection scheme can detect effectively and accurately Lymph nodes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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