Optic neuropathy associated with primary Sjögren's syndrome may show variable clinical courses, including acute optic neuritis, insidious progression of chronic optic atrophy, or in the context of neuromyelitis optica spectrum disorders. Optic neuropathy may be the initial manifestation of primary Sjögren's syndrome without apparent sicca symptoms, which makes the diagnosis often difficult. The presence of specific antibodies including anti-Ro/SSA, anti-La/SSB, and anti-aquaporin-4 antibodies are supportive for the diagnosis and treatment in atypical cases of optic neuropathy.
Purpose: To illustrate what is inside the so-called black box of deep learning models (DLMs) so that clinicians can have greater confidence in the conclusions of artificial intelligence by evaluating adversarial explanation on its ability to explain the rationale of DLM decisions for glaucoma and glaucoma-related findings. Adversarial explanation generates adversarial examples (AEs), or images that have been changed to gain or lose pathologic characteristic-specific traits, to explain the DLM's rationale. Design: Evaluation of explanation methods for DLMs.
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