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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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-10-01
Edice:	Biomedicines
Témata:	biomedical science lung cancer invasiveness recognition semi-automated segmentation imbalance data
On-line přístup:	https://www.mdpi.com/2227-9059/11/11/2938
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