Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model

Research article (EAI Endorsed Transactions on Pervasive Health and Technology, 2024) · cited 17× · AI/ML
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Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model

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Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/brain-tumor-detection-and-classification-using-adjusted-inceptionv3-alexnet-vgg16-vgg19-with-resnet50-152-cnn-model
MLA “Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/brain-tumor-detection-and-classification-using-adjusted-inceptionv3-alexnet-vgg16-vgg19-with-resnet50-152-cnn-model.
BibTeX @misc{4ortxyz_brain-tumor-detection-and-classification-using-adjusted-inceptionv3-alexnet-vgg16-vgg19-with-resnet50-152-cnn-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model}}, year = {2026}, url = {https://4ort.xyz/entity/brain-tumor-detection-and-classification-using-adjusted-inceptionv3-alexnet-vgg16-vgg19-with-resnet50-152-cnn-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model — https://4ort.xyz/entity/brain-tumor-detection-and-classification-using-adjusted-inceptionv3-alexnet-vgg16-vgg19-with-resnet50-152-cnn-model (retrieved 2026-05-24)

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