Detection of Cancer in Medical Images using Deep Learning
| dc.contributor.author | Shweikeh, Emad | |
| dc.contributor.author | Lu, Joan | |
| dc.contributor.author | Rajab, Murad Al- | |
| dc.contributor.author | ETAL. | |
| dc.date.accessioned | 2023-05-03T14:34:41Z | |
| dc.date.accessioned | 2023-08-20T11:27:56Z | |
| dc.date.available | 2023-05-03T14:34:41Z | |
| dc.date.available | 2023-08-20T11:27:56Z | |
| dc.date.issued | 2021-12 | |
| dc.description.abstract | Cancer is a serious disease that causes death by genomic disorder combination and diversity of unreasoning changes. This paper study the major deep learning techniques that are addressing medical image analysis and summarizes over 200 contributed articles to the subject, in particular those studies that are published in the last 6 years (since 2016). The main purpose of this paper study is to survey the deep learning algorithms for cancer detection and diagnosis. the results show that the convolutional neural network (CNN) is the most broadly used when it comes to deep learning and medical image analysis. | |
| dc.identifier.citation | Shweikeh, E., Lu, J., & Al-Rajab, M. (2021). Detection of Cancer in Medical Images using Deep Learning. International journal of online & biomedical engineering, 17(14). | |
| dc.identifier.doi | https://doi.org/10.3991/ijoe.v17i14.27349 | |
| dc.identifier.uri | https://edms.wexl.in/handle/1/5071 | |
| dc.publisher | I Joe | |
| dc.subject | Cancer detection | |
| dc.subject | Convolution neural network (CNN) | |
| dc.subject | Deep learning (DL) | |
| dc.subject | Image analysis | |
| dc.subject | Machine learning (ML) | |
| dc.title | Detection of Cancer in Medical Images using Deep Learning | en_US |
| dc.type | Article | en_US |