Lung Nodule Analysis in CT Images: Deep Learning for Segmentation and Measurement

Author:

Li Ai-Hsien Adam1ORCID,Aruperes Cristian Daniel2ORCID,Lai Yen-Jun3ORCID,Chien Ting-Ying4ORCID,Chiu Yen-Ling5ORCID,Chan Chien-Lung6ORCID

Affiliation:

1. Division of Cardiology, Far Eastern Memorial Hospital, Taiwan and Graduate Program in Biomedical Informatics, Yuan Ze University, Taiwan

2. Department of Information Management, Yuan Ze University, Taiwan

3. Department of Radiology, Far Eastern Memorial Hospital, Taiwan

4. Graduate Program in Biomedical Informatics, Yuan Ze University, Taiwan and Department of Computer Science and Engineering, Yuan Ze University, Taiwan

5. Graduate Institute of Medicine and Graduate Program in Biomedical Informatics, Yuan Ze University, Taiwan and Department of Medical Research, Far Eastern Memorial Hospital, Taiwan

6. Department of Information Management, Yuan Ze University, Taiwan, Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taiwan and ZDT Group - YZU Joint Research and Development Center for Big Data, Taiwan

Funder

National Science and Technology Council

Publisher

ACM

Reference11 articles.

1. [1] “Cancer of the Lung and Bronchus - Cancer Stat Facts,” SEER. Accessed: Oct. 11, 2023. [Online]. Available: https://seer.cancer.gov/statfacts/html/lungb.html

2. [2] “Lung cancer.” Accessed: Oct. 11, 2023. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/lung-cancer

3. A review on Deep Learning approaches for low-dose Computed Tomography restoration

4. [5] “Lung Nodules | Is a Lung Nodule Cancer?” Accessed: Oct. 11, 2023. [Online]. Available: https://www.cancer.org/cancer/types/lung-cancer/detection-diagnosis-staging/lung-nodules.html

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