Zobrazeno 1 - 10 of 31 pro vyhledávání: '"Hallman, Sam"'
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Oriented Edge Forests for Boundary Detection
Autor: Hallman, Sam, Fowlkes, Charless C.
We present a simple, efficient model for learning boundary detection based on a random forest classifier. Our approach combines (1) efficient clustering of training examples based on simple partitioning of the space of local edge orientations and (2)
Externí odkaz: http://arxiv.org/abs/1412.4181
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2
Akademický článek
Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images.
Autor: Chiang, Michael1,2, Hallman, Sam2,3, Cinquin, Amanda1,2, de Mochel, Nabora Reyes1,2, Paz, Adrian1,2, Kawauchi, Shimako2, Calof, Anne L.1,2,4, Cho, Ken W.1,2, Fowlkes, Charless C.2,3, Cinquin, Olivier1,2 ocinquin@uci.edu
Publikováno v: BMC Bioinformatics. 11/25/2015, Vol. 16, p1-19. 19p. 6 Color Photographs, 1 Graph.
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Additional file 2: Table S1. 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
Average precision of cell detection over a variety of experimental conditions. Table S2. Average precision of cell detection over the whole worm gonadal arms. Table S3. Average overlap of cell segmentations across different experimental conditions. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c64c0e13158c4354b237be911976da8
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Additional file 7: Figure S6. 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
Benchmarking of cell row counter accuracy for C. elegans gonadal arms. (A) Overlay of microscope image (white signal, derived from the DNA stain DAPI) with segmentations color-coded by cell row position from the distal end (left), as computed automat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c515b9a1040112ade2b32e99d9cbc53f
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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
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::418aa106622f30d3886641b6c4cc3090
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Additional file 6: Figure S5. 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
Comparison of hand-constructed segmentation produced independently by three users. The segmentations were performed in three dimensions; the same representative slice is shown for the three users. (PDF 23Â kb)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2087d8f0c8350c2077e8b8099b5b0f5c
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Additional file 8: Figure S7. 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
Example output of various programs on C. elegans gonadal arm. (A) Ilastik after training with ~230 brush strokes, showing original DNA signal in white, and pixels classified as foreground (respectively background) in green (respectively red). Arrow p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d2eea39a601d257f7b1debfba21828c
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Additional file 4: Figure S3. 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
Precision-recall curves benchmarking cell center detection. (A-B) Precision-recall trade off as the detection threshold is varied for C. elegans MZ cells (A) and mouse embryo (B). Based on these curves, an automatic detection threshold can be chosen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc0c63fed5137a2c3b17d17ec0e7084d
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