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URL: https://github.com/YuanXue1993/SegAN
Proper Citation: SegAN (RRID:SCR_016215)
Description: Image analysis software for medical image segmentation. The software is fueled by an end-to-end adversarial neural network that generates segmentation label maps.
Synonyms: Semantic Segmentation with Adversarial Learning (SegAN), Semantic Segmentation with Adversarial Learning, SegAN: Semantic Segmentation with Adversarial Learning
Resource Type: data processing software, image analysis software, software application, software resource
Keywords: neural, network, segmentation, pixel, spatial, image, medical, analysis, labelling, loss function, segmentor
Funding: LHNCBC HHSN276201500692P; NIH ; NLM
Availability: Free, Available for download
Resource Name: SegAN
Resource ID: SCR_016215
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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