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. Author manuscript; available in PMC: 2022 Feb 15.
Published in final edited form as: Optica. 2021 May 4;8(5):642–651. doi: 10.1364/optica.418274

Fig. 1.

Fig. 1.

Details of WeakGCSeg for instance segmentation of GCL somas from AO-OCT volumes. (A) Overview of WeakGCSeg. (B) Network architecture. The numbers in parentheses denote the filter size. The number of filters for each conv. layer is written under each level. Nf = 32 is the base number of filters. Black circles denote summation. Conv, convolution; ReLU, rectified linear unit; BN, batch-normalization; S, stride. (C) Post-processing the CNN’s output to segment GCL somas without human supervision. The colored boxes correspond to steps with matching colors. Scale bar: 50 μm.