LVI-PathNet: Segmentation-classification pipeline for detection of lymphovascular invasion in whole slide images of lung adenocarcinoma

• Principais autores: Anna Timakova (Autor), Vladislav Ananev (Autor), Alexey Fayzullin (Autor), Egor Zemnuhov (Autor), Egor Rumyantsev (Autor), Andrey Zharov (Autor), Nicolay Zharkov (Autor), Varvara Zotova (Autor), Elena Shchelokova (Autor), Tatiana Demura (Autor), Peter Timashev (Autor), Vladimir Makarov (Autor)
• Formato: Livro
• Publicado em: Elsevier, 2024-12-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

Lymphovascular invasion (LVI) in lung cancer is a significant prognostic factor that influences treatment and outcomes, yet its reliable detection is challenging due to interobserver variability. This study aims to develop a deep learning model for LVI detection using whole slide images (WSIs) and e...