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Brain Tumor MRI Diagnostics Dataset
Patient Health Records & Digital Health
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About
This dataset features a collection of MRI images for brain cancer research, specifically curated to support medical diagnostics. It offers a valuable resource for developing and testing diagnostic tools, particularly given the challenges often associated with acquiring such medical imaging data.
Columns
- label: Represents the classification label for each image.
- number_of_files: Indicates the count of files within a directory.
Distribution
This dataset consists of MRI images, totalling 6056 files. All images are uniformly resized to 512x512 pixels. The collection is categorised into three distinct classes: Brain_Glioma (2004 images), Brain_Menin (2004 images), and Brain Tumor (2048 images). The dataset's expected update frequency is never.
Usage
Researchers and practitioners can utilise this dataset for various applications, including:
- Image Processing: For enhancing and analysing MRI images.
- Deep Learning: For training neural networks towards automated classification and detection of brain cancer.
- Machine Learning: For developing predictive models pertinent to early diagnosis and treatment planning.
Coverage
The images within this dataset were collected from various hospitals located across Bangladesh. Experienced medical professionals were directly involved in the data collection process to ensure both accuracy and relevance.
License
CC BY-SA 4.0
Who Can Use It
This dataset is ideal for researchers and practitioners engaged in:
- Developing automated classification and detection systems for brain cancer.
- Creating predictive models for early diagnosis.
- Planning patient treatment strategies based on medical imaging.
Dataset Name Suggestions
- Brain Cancer MRI Image Set
- Bangladesh Brain Cancer Imaging Data
- Brain Tumor MRI Diagnostics Dataset
- Medical Brain Scan Collection
Attributes
Original Data Source: Brain Tumor MRI Diagnostics Dataset
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