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Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images

PaperCitations, authors & open-access status

Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images is a paper indexed in PICO Portal from OpenAlex.

How many citations does Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images have?

PICO Portalcitation count

Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images has 9 citations in the OpenAlex counts PICO Portal stores.

When was Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images published?

PICO Portalyear

Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images has 2025 year in the PICO Portal index.

What is the open-access status of Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images?

PICO Portaloa status

Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images has closed oa status in the PICO Portal index.

What is the DOI of Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images?

PICO Portaldoi

The DOI for Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images is on the source record.

What is the PMID of Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images?

PICO Portalpmid

The PMID for Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images is on the source record.

What is the OpenAlex record for Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images?

PICO Portalopenalex

The OpenAlex for Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images is on the source record.

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