Cargando…
Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation
Chromosome karyotype analysis is of great clinical importance in the diagnosis and treatment of diseases. Since manual analysis is highly time and effort consuming, computer-assisted automatic chromosome karyotype analysis based on images is routinely used to improve the efficiency and accuracy of t...
Autores principales: | Mei, Liye, Yu, Yalan, Shen, Hui, Weng, Yueyun, Liu, Yan, Wang, Du, Liu, Sheng, Zhou, Fuling, Lei, Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029931/ https://www.ncbi.nlm.nih.gov/pubmed/35455185 http://dx.doi.org/10.3390/e24040522 |
Ejemplares similares
-
Improving Image Super-Resolution Based on Multiscale Generative Adversarial Networks
por: Yuan, Cao, et al.
Publicado: (2022) -
Development and Evaluation of Chromosome Segment Substitution Lines Carrying Overlapping Chromosome Segments of the Whole Wild Rice Genome
por: Yang, Dewei, et al.
Publicado: (2016) -
Three-Dimensional Liver Image Segmentation Using Generative Adversarial Networks Based on Feature Restoration
por: He, Runnan, et al.
Publicado: (2022) -
Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images
por: Yamanakkanavar, Nagaraj, et al.
Publicado: (2022) -
A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation
por: Zhang, Jinghua, et al.
Publicado: (2020)