Cargando…
How Many Private Data Are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study
SIMPLE SUMMARY: The early detection of lung nodules is important for patient treatment and follow-up. Many researchers are investigating deep-learning-based lung nodule detection to ease the burden of lung nodule detection by radiologists. The purpose of this paper is to provide guidelines for colle...
Autores principales: | Son, Jeong Woo, Hong, Ji Young, Kim, Yoon, Kim, Woo Jin, Shin, Dae-Yong, Choi, Hyun-Soo, Bak, So Hyeon, Moon, Kyoung Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265117/ https://www.ncbi.nlm.nih.gov/pubmed/35804946 http://dx.doi.org/10.3390/cancers14133174 |
Ejemplares similares
-
Detection of Rotator Cuff Tears by Ultrasound: How Many Scans Do Novices Need to Be Competent?
por: Kim, Dong Min, et al.
Publicado: (2021) -
A classification of pulmonary nodules by CT scan
por: Bellomi, M
Publicado: (2012) -
Malignancy risk of thyroid nodules with minimal cystic changes: a multicenter retrospective study
por: Lee, Yoo Jin, et al.
Publicado: (2022) -
Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise
por: Kim, Joo Hee, et al.
Publicado: (2021) -
The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study
por: Kim, Young Jae, et al.
Publicado: (2019)