Cargando…
Data augmentation based on multiple oversampling fusion for medical image segmentation
A high-performance medical image segmentation model based on deep learning depends on the availability of large amounts of annotated training data. However, it is not trivial to obtain sufficient annotated medical images. Generally, the small size of most tissue lesions, e.g., pulmonary nodules and...
Autores principales: | Wu, Liangsheng, Zhuang, Jiajun, Chen, Weizhao, Tang, Yu, Hou, Chaojun, Li, Chentong, Zhong, Zhenyu, Luo, Shaoming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578635/ https://www.ncbi.nlm.nih.gov/pubmed/36256637 http://dx.doi.org/10.1371/journal.pone.0274522 |
Ejemplares similares
-
Citrus Tree Segmentation from UAV Images Based on Monocular Machine Vision in a Natural Orchard Environment
por: Chen, Yayong, et al.
Publicado: (2019) -
COVER: conformational oversampling as data augmentation for molecules
por: Hemmerich, Jennifer, et al.
Publicado: (2020) -
Assessment of External Properties for Identifying Banana Fruit Maturity Stages Using Optical Imaging Techniques
por: Zhuang, Jiajun, et al.
Publicado: (2019) -
Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment
por: Guo, Qiwei, et al.
Publicado: (2019) -
Reconstruction of Microscopic Thermal Fields from Oversampled Infrared Images in Laser-Based Powder Bed Fusion
por: Stanger, Leigh, et al.
Publicado: (2021)