Cargando…
DDeep3M+: adaptive enhancement powered weakly supervised learning for neuron segmentation
SIGNIFICANCE: Robust segmentations of neurons greatly improve neuronal population reconstruction, which could support further study of neuron morphology for brain research. AIM: Precise segmentation of 3D neuron structures from optical microscopy (OM) images is crucial to probe neural circuits and b...
Autores principales: | Xiao, Rong, Zhu, Lei, Liao, Jiangshan, Wu, Xinglong, Gong, Hui, Huang, Jin, Li, Ping, Sheng, Bin, Chen, Shangbin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289179/ https://www.ncbi.nlm.nih.gov/pubmed/37362386 http://dx.doi.org/10.1117/1.NPh.10.3.035003 |
Ejemplares similares
-
WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation
por: Ou, Jia-Rong, et al.
Publicado: (2021) -
Weakly Supervised 2D Pose Adaptation and Body Part Segmentation for Concealed Object Detection †
por: Amadi, Lawrence, et al.
Publicado: (2023) -
Weakly supervised segmentation for real-time surgical tool tracking
por: Lee, Eung-Joo, et al.
Publicado: (2019) -
Weakly supervised underwater fish segmentation using affinity LCFCN
por: Laradji, Issam H., et al.
Publicado: (2021) -
Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester
por: Kim, Wan-Soo, et al.
Publicado: (2021)