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AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function
Research article (Scientific Reports, 2021) · cited 95× · AI/ML
AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function
Summary
AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function is a scholarly article[1].
Key Facts
AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function. Retrieved May 24, 2026, from https://4ort.xyz/entity/ai-outperformed-every-dermatologist-in-dermoscopic-melanoma-diagnosis-using-an-optimized-deep-cnn-architecture-with-cust
MLA“AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ai-outperformed-every-dermatologist-in-dermoscopic-melanoma-diagnosis-using-an-optimized-deep-cnn-architecture-with-cust.
BibTeX@misc{4ortxyz_ai-outperformed-every-dermatologist-in-dermoscopic-melanoma-diagnosis-using-an-optimized-deep-cnn-architecture-with-cust_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function}}, year = {2026}, url = {https://4ort.xyz/entity/ai-outperformed-every-dermatologist-in-dermoscopic-melanoma-diagnosis-using-an-optimized-deep-cnn-architecture-with-cust}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function — https://4ort.xyz/entity/ai-outperformed-every-dermatologist-in-dermoscopic-melanoma-diagnosis-using-an-optimized-deep-cnn-architecture-with-cust (retrieved 2026-05-24)
