Within-brain classification for brain tumor segmentation

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, November 2015

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Good Attention Score compared to outputs of the same age (69th percentile)
Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter: 2 X users

patent: 3 patents

Citations

dimensions_citation: 62 Dimensions

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mendeley: 85 Mendeley

Summary X Patents Dimensions citations

So far, Dimensions has found 62 publications that cite this research output.

62

The most recent citing publications are shown below. View all 62 publications that cite this research output on Dimensions.

Hybrid Classification Framework Based on CNN and Random Forest Method to Predict Brain Tumor

Conference proceeding (February 2024)

Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI Images Using Deep Learning

Book chapter (January 2024)

An intelligent LinkNet-34 model with EfficientNetB7 encoder for semantic segmentation of brain tumor

Article in Scientific Reports (January 2024)