Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules
- DOI
- 10.3390/biomedicines11112938
- Published
- 2023-10-30
- Container
- Biomedicines
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/biomedicines11112938,
title = {Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules},
author = {Yu-Cheng Tung and Ja-Hwung Su and Yi-Wen Liao and Yeong-Chyi Lee and Bo-An Chen and Hong-Ming Huang and Jia-Jhan Jhang and Hsin-Yi Hsieh and Yu-Shun Tong and Yu-Fan Cheng and Chien-Hao Lai and Wan-Ching Chang},
year = {2023},
journal = {Biomedicines},
doi = {10.3390/biomedicines11112938},
url = {https://doi.org/10.3390/biomedicines11112938}
}RIS
TY - JOUR TI - Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules AU - Yu-Cheng Tung AU - Ja-Hwung Su AU - Yi-Wen Liao AU - Yeong-Chyi Lee AU - Bo-An Chen AU - Hong-Ming Huang AU - Jia-Jhan Jhang AU - Hsin-Yi Hsieh AU - Yu-Shun Tong AU - Yu-Fan Cheng AU - Chien-Hao Lai AU - Wan-Ching Chang PY - 2023 JO - Biomedicines DO - 10.3390/biomedicines11112938 UR - https://doi.org/10.3390/biomedicines11112938 ER -
APA
Tung, Y., Su, J., Liao, Y., Lee, Y., Chen, B., Huang, H., Jhang, J., Hsieh, H., Tong, Y., Cheng, Y., Lai, C., & Chang, W. (2023). Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules. Biomedicines. https://doi.org/10.3390/biomedicines11112938
Source records
- crossref · retrieved 2026-09-26T12:12:28.042Z