DeepCUBIT: Predicting Lymphovascular Invasion or Pathological Lymph Node Involvement of Clinical T1 Stage Non-Small Cell Lung Cancer on Chest CT Scan Using Deep Cubical Nodule Transfer Learning Algorithm

The prediction of lymphovascular invasion (LVI) or pathological nodal involvement of tumor cells is critical for successful treatment in early stage non-small cell lung cancer (NSCLC). We developed and validated a Deep Cubical Nodule Transfer Learning Algorithm (DeepCUBIT) using transfer learning an...

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Detalles Bibliográficos
Autores principales: Beck, Kyongmin Sarah, Gil, Bomi, Na, Sae Jung, Hong, Ji Hyung, Chun, Sang Hoon, An, Ho Jung, Kim, Jae Jun, Hong, Soon Auck, Lee, Bora, Shim, Won Sang, Park, Sungsoo, Ko, Yoon Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287408/
https://www.ncbi.nlm.nih.gov/pubmed/34290979
http://dx.doi.org/10.3389/fonc.2021.661244

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