Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks
Summary
Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks is a scholarly article[1].
Key Facts
Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-retinal-disease-diagnosis-with-an-interpretable-lightweight-cnn-model-resistant-to-adversarial-attacks
MLA“Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-retinal-disease-diagnosis-with-an-interpretable-lightweight-cnn-model-resistant-to-adversarial-attacks.
BibTeX@misc{4ortxyz_evaluating-retinal-disease-diagnosis-with-an-interpretable-lightweight-cnn-model-resistant-to-adversarial-attacks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-retinal-disease-diagnosis-with-an-interpretable-lightweight-cnn-model-resistant-to-adversarial-attacks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks — https://4ort.xyz/entity/evaluating-retinal-disease-diagnosis-with-an-interpretable-lightweight-cnn-model-resistant-to-adversarial-attacks (retrieved 2026-05-24)
