Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules

Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules

Over the past few decades, recognition of early lung cancers was researched for effective treatments. In early lung cancers, the invasiveness is an important factor for expected survival rates. Hence, how to effectively identify the invasiveness by computed tomography (CT) images became a hot topic...

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Bibliographic Details
Main Authors: Yu-Cheng Tung, Ja-Hwung Su, Yi-Wen Liao, Yeong-Chyi Lee, Bo-An Chen, Hong-Ming Huang, Jia-Jhan Jhang, Hsin-Yi Hsieh, Yu-Shun Tong, Yu-Fan Cheng, Chien-Hao Lai, Wan-Ching Chang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Biomedicines
Subjects:
biomedical science
lung cancer
invasiveness recognition
semi-automated segmentation
imbalance data
Online Access:https://www.mdpi.com/2227-9059/11/11/2938

Internet

https://www.mdpi.com/2227-9059/11/11/2938

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