Classification of cervical cell using deep convolutional neural network
| dc.contributor.author | Poh, Kok Hang | |
| dc.date.accessioned | 2021-02-23T02:06:03Z | |
| dc.date.available | 2021-02-23T02:06:03Z | |
| dc.date.issued | 2019-06 | |
| dc.description.abstract | Automated cervical cancer classification could be effective for assisting the process of cervical cancer diagnosis via Pap smear. This project proposes to implement deep convolutional neural network for the classification of cervical cell to overcome the weaknesses of previous automated classification methods. Deep convolutional neural network can directly classify cervical cells without taking considerations of individual cell features. Whereas, most of the previous methods require the use of cell segmentation and feature extraction processes, which remain a challenging task despite previous extensive researches. This research will further address the advantages and disadvantages of previous proposed cervical cell classification method. In this research, the cervical cell datasets obtained from local hospitals and Herlev dataset are first manually chosen and labelled into three categories, namely Negative for Intraepithelial Malignancy (NILM), Low-grade Squamous Intraepithelial Lesion (LSIL) and High-grade Squamous Intraepithelial Lesion (HSIL). Then, the datasets are separated for training and testing process. Finally, a deep convolutional neural network model is trained and optimized to classify cervical cells. The results show that the developed model has a sensitivity, specificity and classification accuracy of 93.6%, 94.8% and 91.4% respectively which outperforms most of the previous proposed methods. Furthermore, the time taken to classify a single cervical cell image averages to 2.1 milliseconds. Hence, the proposed method provides a reliable method for the development of automated screening systems that will aid professionals in primary screening for abnormal cervical cells | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/11442 | |
| dc.language.iso | en | en_US |
| dc.title | Classification of cervical cell using deep convolutional neural network | en_US |
| dc.type | Other | en_US |
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