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Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
Research article (BMC Bioinformatics, 2023) · cited 43× · AI/ML
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
Summary
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem is a scholarly article[1].
Key Facts
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/refactoring-and-performance-analysis-of-the-main-cnn-architectures-using-false-negative-rate-minimization-to-solve-the-c
MLA“Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/refactoring-and-performance-analysis-of-the-main-cnn-architectures-using-false-negative-rate-minimization-to-solve-the-c.
BibTeX@misc{4ortxyz_refactoring-and-performance-analysis-of-the-main-cnn-architectures-using-false-negative-rate-minimization-to-solve-the-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem}}, year = {2026}, url = {https://4ort.xyz/entity/refactoring-and-performance-analysis-of-the-main-cnn-architectures-using-false-negative-rate-minimization-to-solve-the-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem — https://4ort.xyz/entity/refactoring-and-performance-analysis-of-the-main-cnn-architectures-using-false-negative-rate-minimization-to-solve-the-c (retrieved 2026-05-24)
