Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images

Research article (IEEE Access, 2023) · cited 16× · AI/ML
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Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images

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Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-study-on-architecture-of-deep-neural-networks-for-segmentation-of-brain-tumor-using-magnetic-resonance-image
MLA “Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-study-on-architecture-of-deep-neural-networks-for-segmentation-of-brain-tumor-using-magnetic-resonance-image.
BibTeX @misc{4ortxyz_comparative-study-on-architecture-of-deep-neural-networks-for-segmentation-of-brain-tumor-using-magnetic-resonance-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-study-on-architecture-of-deep-neural-networks-for-segmentation-of-brain-tumor-using-magnetic-resonance-image}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images — https://4ort.xyz/entity/comparative-study-on-architecture-of-deep-neural-networks-for-segmentation-of-brain-tumor-using-magnetic-resonance-image (retrieved 2026-05-24)

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