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Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm

Research article (Concurrency and Computation Practice and Experience, 2022) · cited 11× · AI/ML
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Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm

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Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm is a scholarly article[1].

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  • Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm's instance of is recorded as scholarly article[2].

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Amit Kumar Tyagi

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/breast-lesion-identification-and-categorization-using-mammography-screening-based-on-combined-convolutional-recursive-ne
MLA “Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/breast-lesion-identification-and-categorization-using-mammography-screening-based-on-combined-convolutional-recursive-ne.
BibTeX @misc{4ortxyz_breast-lesion-identification-and-categorization-using-mammography-screening-based-on-combined-convolutional-recursive-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/breast-lesion-identification-and-categorization-using-mammography-screening-based-on-combined-convolutional-recursive-ne}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm — https://4ort.xyz/entity/breast-lesion-identification-and-categorization-using-mammography-screening-based-on-combined-convolutional-recursive-ne (retrieved 2026-05-24)

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