A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images

Research article (Endokrynologia Polska, 2021) · cited 26× · AI/ML
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A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images

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A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images is a scholarly article[1].

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  • A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparison-between-deep-learning-convolutional-neural-networks-and-radiologists-in-the-differentiation-of-benign-and-m
MLA “A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparison-between-deep-learning-convolutional-neural-networks-and-radiologists-in-the-differentiation-of-benign-and-m.
BibTeX @misc{4ortxyz_a-comparison-between-deep-learning-convolutional-neural-networks-and-radiologists-in-the-differentiation-of-benign-and-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparison-between-deep-learning-convolutional-neural-networks-and-radiologists-in-the-differentiation-of-benign-and-m}, note = {Accessed: 2026-05-24}}
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