Additional file 3: Figure S2. of Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images

Autor: Chiang, Michael, Hallman, Sam, Cinquin, Amanda, Nabora De Mochel, Paz, Adrian, Shimako Kawauchi, Calof, Anne, Cho, Ken, Charless Fowlkes, Cinquin, Olivier
Rok vydání: 2015
Předmět:
DOI: 10.6084/m9.figshare.c.3625214_d5.v1
Popis: Cell detection via HOG features. (A) HOG weights learned from germ cells. The left two panels display the component of the weight vector learned from xy sections, while the right two panels correspond to xz sections. (B) Variation of training samples. The left panel corresponds to the 20 highest-scoring training samples and the right panel corresponds to the 20 lowest-scoring training samples. (C) Eight curated MZs are sufficient for accurate training of the cell detector. (PDF 697Â kb)
Databáze: OpenAIRE