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Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study
Research article (Quantitative Imaging in Medicine and Surgery, 2021) · cited 76× · AI/ML
Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study
Summary
Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study is a scholarly article[1].
Key Facts
Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-the-performance-of-traditional-machine-learning-algorithms-convolutional-neural-network-and-automl-vision-
MLA“Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-the-performance-of-traditional-machine-learning-algorithms-convolutional-neural-network-and-automl-vision-.
BibTeX@misc{4ortxyz_evaluation-of-the-performance-of-traditional-machine-learning-algorithms-convolutional-neural-network-and-automl-vision-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-the-performance-of-traditional-machine-learning-algorithms-convolutional-neural-network-and-automl-vision-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study — https://4ort.xyz/entity/evaluation-of-the-performance-of-traditional-machine-learning-algorithms-convolutional-neural-network-and-automl-vision- (retrieved 2026-05-24)
