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Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images
Research article (BMC Medical Imaging, 2019) · cited 25× · AI/ML
Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images
Summary
Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images is a scholarly article[1].
Key Facts
Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-performance-of-convolutional-neural-networks-with-direct-acyclic-graph-architectures-in-automatic-segment
MLA“Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-performance-of-convolutional-neural-networks-with-direct-acyclic-graph-architectures-in-automatic-segment.
BibTeX@misc{4ortxyz_evaluating-the-performance-of-convolutional-neural-networks-with-direct-acyclic-graph-architectures-in-automatic-segment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-performance-of-convolutional-neural-networks-with-direct-acyclic-graph-architectures-in-automatic-segment}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images — https://4ort.xyz/entity/evaluating-the-performance-of-convolutional-neural-networks-with-direct-acyclic-graph-architectures-in-automatic-segment (retrieved 2026-05-24)
