Video_S2_rgc_cps_3T_label1.mp4

Video_S2_rgc_cps_3T_label1.mp4

Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CPS method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and fals...

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Bibliographische Detailangaben
1. Verfasser: Zhou, Mengxi
Format: Video
Sprache:eng
Schlagworte:
Artificial Intelligence and Image Processing
FOS: Computer and information sciences
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Beschreibung
Zusammenfassung:Automatically identified GCL somas at 3.75◦ temporal to the fovea by the RGC-CPS method trained with (1 / 7) labeled subjects. En face flythrough of a volume from the IU dataset with soma detection results is illustrated. The markers indicate true positives (cyan), false positives (yellow), and false negatives (red), compared to the ground-truth manual annotations. Scale bar: 50 μm.
DOI:10.6084/m9.figshare.25565427