Brain Tumor Detection and Classification
Brain Tumor Detection and Classification is a research topic within Neurology. Science Explorer counts 26k research works in it since 1953. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the classification of brain tumor type and grade using various techniques such as MRI, deep learning, convolutional neural networks, feature extraction, and machine learning. The research aims to improve the accuracy and efficiency of brain tumor classification for better diagnosis and treatment.
- MRI
- Brain Tumor
- Classification
- Deep Learning
- Convolutional Neural Network
- Feature Extraction
- Machine Learning
- Image Segmentation
- Transfer Learning
- Medical Imaging
- Research works
- 26k fractional, since 1953
- In the world top 10%
- 2.5k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +226% the tick is no change
- Largest producer
India
44% of the 10 largest, 2022-now
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