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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	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
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-10-01
Serie:	Biomedicines
Soggetti:	biomedical science lung cancer invasiveness recognition semi-automated segmentation imbalance data
Accesso online:	https://www.mdpi.com/2227-9059/11/11/2938
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!