DEEP CONVOLUTIONAL NEURAL NETWORKS TO DETECT LUNG CANCER STAGE
| Autor: | NOGAY, H. Selcuk |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Volume: 2, Issue: 2 33-36 The Journal of Cognitive Systems |
| ISSN: | 2548-0650 |
| Popis: | Regardless of the type of cancer, the treatmentprocess starts after the staging process. The treatment method to be applied tothe cancer patient depends on the stage of the disease. Therefore, all studieson the staging of cancer types have a big precaution. In this study, deepconvolutional neural networks (DCNN) were used for staging of lung cancer. TheTNM classification system is considered for staging. According to TNM, thereare nine tumor stages in lung cancer. In the study, 200 data for each stage oflung cancer and 1800 MR images for 9 stages in total were used. As a result, aclassification of 99.8% accuracy was performed in order to stage lung cancerwith the proposed DCNN model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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