3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs

3D instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be expensive and time-consuming. Existing works segment a new modality by either deploying pre-trained models optimized on diverse training data or sequentially conductin...

Descripción completa

Detalles Bibliográficos
Autores principales: Lauenburg, Leander, Lin, Zudi, Zhang, Ruihan, dos Santos, Márcia, Huang, Siyu, Arganda-Carreras, Ignacio, Boyden, Edward S., Pfister, Hanspeter, Wei, Donglai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481620/
https://www.ncbi.nlm.nih.gov/pubmed/37252868
http://dx.doi.org/10.1109/JBHI.2023.3281332

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481620/
https://www.ncbi.nlm.nih.gov/pubmed/37252868
http://dx.doi.org/10.1109/JBHI.2023.3281332

Ejemplares similares