Cargando…
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due to the requirement of professional skills. Additionally, classes are often unevenly distributed in medical images, whic...
Autores principales: | Wang, Tao, Huang, Zhongzheng, Wu, Jiawei, Cai, Yuanzheng, Li, Zuoyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376634/ https://www.ncbi.nlm.nih.gov/pubmed/37508896 http://dx.doi.org/10.3390/bioengineering10070869 |
Ejemplares similares
-
Generative Adversarial Training for Supervised and Semi-supervised Learning
por: Wang, Xianmin, et al.
Publicado: (2022) -
Semi-supervised segmentation of retinoblastoma tumors in fundus images
por: Rahdar, Amir, et al.
Publicado: (2023) -
Semi-supervised segmentation of metastasis lesions in bone scan images
por: Lin, Qiang, et al.
Publicado: (2022) -
Semi-Supervised Segmentation Framework for Gastrointestinal Lesion Diagnosis in Endoscopic Images
por: Lonseko, Zenebe Markos, et al.
Publicado: (2023) -
A Semi-Supervised Method for Tumor Segmentation in Mammogram Images
por: Azary, Hanie, et al.
Publicado: (2020)