Sentence examples for delineations from from inspiring English sources

When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well.

Our full data set comprises 3D OCT volumes and manual delineations from 35 subjects.

In an essay entitled "Jojibun" ("Narration"), which appeared in the newspaper Nihon in 1900, Masaoka introduced the word shasei ("delineation from nature") to describe his theory.

The absence of petrogenic components larger than 206 u facilitates their detection and delineation from pyrogenic PAHs by methods of chemical analysis.

For optimized habitat boundary delineation from black and white aerial photographs and panchromatic satellite images, three levels of hierarchical image object primitives were created.

Lung uptake was assessed using a ROI created in the lungs at time frames that allowed good delineation from the heart and liver.

Additionally, accurate centerline delineation from the ChanGeom methodology provides improved sinuosity measurements, and when fused with coarse resolution digital elevation models (DEMs), removes along-profile shortening and coincident increases in reach-scale channel slope.

In order to eliminate such over-segmentation, a new method for individual tree crown delineation from optical imagery was proposed based on multi-scale filtering and segmentation in this study.

For fires, these burned-area compilations use both coarse-resolution (e.g., SPOT-VGT) and medium-resolution remotely-sensed data sources which include Landsat information, as well as other sources, including aerial GPS surveys and manual delineation from air photos.

In each patient, three liver metastases with unimpaired delineation from other sources of tracer accumulation along with the primary tumor or an extrahepatic metastasis if the primary was resected were selected as target lesions, and normal liver parenchyma as well as the spleen (if not affected by tumor infiltration) as background control.

Best-performers in each challenge were identified by statistical significance with respect to a null model combined with a clear delineation from the rest of the participating teams (e.g., an order of magnitude lower p-value compared to the next best team).