Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models

Research article (2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2024) · cited 26× · AI/ML
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Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models

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Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhanced-model-for-brain-tumor-detection-accuracy-using-inceptionresnetv2-compared-to-vgg19-and-mobilenet-models
MLA “Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhanced-model-for-brain-tumor-detection-accuracy-using-inceptionresnetv2-compared-to-vgg19-and-mobilenet-models.
BibTeX @misc{4ortxyz_enhanced-model-for-brain-tumor-detection-accuracy-using-inceptionresnetv2-compared-to-vgg19-and-mobilenet-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models}}, year = {2026}, url = {https://4ort.xyz/entity/enhanced-model-for-brain-tumor-detection-accuracy-using-inceptionresnetv2-compared-to-vgg19-and-mobilenet-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhanced Model for Brain Tumor Detection Accuracy Using Inceptionresnetv2 compared to VGG19 and MobileNet Models — https://4ort.xyz/entity/enhanced-model-for-brain-tumor-detection-accuracy-using-inceptionresnetv2-compared-to-vgg19-and-mobilenet-models (retrieved 2026-05-24)

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