Semantic SLAM based on deep learning in endocavity environment
H Wu, J Zhao, K Xu, Y Zhang, R Xu, A Wang, Y Iwahori - Symmetry, 2022 - mdpi.com
Traditional endoscopic treatment methods restrict the surgeon's field of view. New
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …
Cascade of denoising and mapping neural networks for MRI R2* relaxometry of iron-loaded liver
MRI of effective transverse relaxation rate (R2*) measurement is a reliable method for liver
iron concentration quantification. However, R2* mapping can be degraded by noise …
iron concentration quantification. However, R2* mapping can be degraded by noise …
Paddy rice imagery dataset for panicle segmentation
H Wang, S Lyu, Y Ren - Agronomy, 2021 - mdpi.com
Accurate panicle identification is a key step in rice-field phenotyping. Deep learning
methods based on high-spatial-resolution images provide a high-throughput and accurate …
methods based on high-spatial-resolution images provide a high-throughput and accurate …
Annotation and automated segmentation of single‐molecule localisation microscopy data
O Umney, J Leng, G Canettieri… - Journal of …, 2024 - Wiley Online Library
Abstract Single Molecule Localisation Microscopy (SMLM) is becoming a widely used
technique in cell biology. After processing the images, the molecular localisations are …
technique in cell biology. After processing the images, the molecular localisations are …
[PDF][PDF] Semantic SLAM Based on Deep Learning in Endocavity Environment. Symmetry 2022, 14, 614
H Wu, J Zhao, K Xu, Y Zhang, R Xu, A Wang, Y Iwahori - 2022 - academia.edu
Traditional endoscopic treatment methods restrict the surgeon's field of view. New
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …