| Universitatea din Craiova. Analele. Seria: Matematica, Informatica | |
| A statistical evaluation of the preprocessing medical images impact on a deep learning network’s performance | |
| article | |
| Renato Constantin Ivanescu1  | |
| [1] University of Craiova | |
| 关键词: deep learning; statistical learning; statistical analysis; colon cancer; lung cancer; fetal brain; | |
| DOI : 10.52846/ami.v49i2.1641 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Universitatea din Craiova / University of Craiova | |
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【 摘 要 】
The aim of this paper is to explore the efficiency of preprocessing medical images before applying a deep learning algorithm to classify the data. The study uses a statistical framework that establishes the fact that depending on the dataset used, image preprocessing indeed decreases the computational time, without having a dropdown in performance. The dataset used in this study regard colon cancer, lung cancer, and fetal brain ultrasound scans. The study proposes a statistical performance that studies the performances of the ResNet50 deep learning network in different preprocessing scenarios.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307080002088ZK.pdf | 1455KB |
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