ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.

Item
http://www.wikidata.org/entity/Q38371436
Three-dimensional continuous max flow optimization-based serous retinal detachment segmentation in SD-OCT for central serous chorioretinopathy.Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy.Automatic detection of the foveal center in optical coherence tomography.Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.Effect of patch size and network architecture on a convolutional neural network approach for automatic segmentation of OCT retinal layers.DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images.Characterization of coronary artery pathological formations from OCT imaging using deep learningIntraretinal fluid identification via enhanced maps using optical coherence tomography imagesDeep learning based detection of cone photoreceptors with multimodal adaptive optics scanning light ophthalmoscope images of achromatopsiaMultiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT imagesAutomated segmentation of retinal layer boundaries and capillary plexuses in wide-field optical coherence tomographic angiographyAutomatic segmentation of OCT retinal boundaries using recurrent neural networks and graph searchMEDnet, a neural network for automated detection of avascular area in OCT angiography
P2860

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.

Item
http://www.wikidata.org/entity/Q38371436
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
ReLayNet: retinal layer and fl ...... fully convolutional networks.
@en
type
label
ReLayNet: retinal layer and fl ...... fully convolutional networks.
@en
prefLabel
ReLayNet: retinal layer and fl ...... fully convolutional networks.
@en
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P698
P932
P356
P1433
P1476
ReLayNet: retinal layer and fl ...... fully convolutional networks.
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P698
P932