Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features
Objectives: To differentiate invasive lepidic predominant adenocarcinoma (iLPA) from adenocarcinoma in situ (AIS)/minimally invasive adenocarcinoma (MIA) of lung utilizing visual semantic and computer-aided detection (CAD)-based texture features on subjects initially diagnosed as AIS or MIA with CT-...
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| Main Authors: | Sean F. Johnson, Seyed Mohammad Hossein Tabatabaei, Grace Hyun J. Kim, Bianca E. Villegas, Matthew Brown, Scott Genshaft, Robert D. Suh, Igor Barjaktarevic, William Dean Wallace, Fereidoun Abtin |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
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| Series: | Medical Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3271/12/4/57 |
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