This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (96) Artificial Intelligence (1646) Imaging Informatics (221)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47445, first published .
Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review

Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review

Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review

Authors of this article:

Hazrat Ali1 Author Orcid Image ;   Rizwan Qureshi2 Author Orcid Image ;   Zubair Shah1 Author Orcid Image
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New JMIR MedInform: artificial intelligence (#AI)–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review https://t.co/VSWnqelkSI https://t.co/YTip6cOJiI

4:38 PM · Nov 17, 2023

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JMIR Medical Informatics JMIR Medical Informatics @JMIR_MedInform

RT @jmirpub: New JMIR MedInform: artificial intelligence (#AI)–Based Methods for Integrating Local and Global Features for Brain Cancer Ima…

4:39 PM · Nov 17, 2023

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Dra.ElizabethPauker Dra.ElizabethPauker @DraElizthPauker

RT @jmirpub: New JMIR MedInform: artificial intelligence (#AI)–Based Methods for Integrating Local and Global Features for Brain Cancer Ima…

4:42 PM · Nov 17, 2023

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Hazrat Ali @CVPR 2023 Hazrat Ali @CVPR 2023 @hazrat_ai

This review explores how different vision transformers contributed to advancing brain cancer diagnosis and tumor segmentation using brain image data. Read full article at https://t.co/IKSfgCgII8

7:00 PM · Nov 17, 2023

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Brain tumor ULisboa Brain tumor ULisboa @braintumor_UL

Artificial Intelligence-Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review https://t.co/FeBbMTIMXS

9:01 PM · Nov 17, 2023

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