An AI model that Classifies between 4 classes of Brain Tumors. Well-established CNN architecture pre-trained on a massive dataset of MRI scans. VGG16 model is used for this task.
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Updated
May 24, 2024 - Jupyter Notebook
An AI model that Classifies between 4 classes of Brain Tumors. Well-established CNN architecture pre-trained on a massive dataset of MRI scans. VGG16 model is used for this task.
Medical Image processing project.
Personal Cancer Genome Reporter (PCGR)
image processing exercises with google colab
Clinical oncology tumor board decision support system made by the Decider project.
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Mouse nEoanTigen pRedictOr
Machine Learning Model to Skin Tumor Analysis and Classification.
a Visual Diagnosing System Using a Fully Optimized Convolutional Neural Network Architecture for Rapid and Efficient Classification of Tumorous and non Tumorous Brain MRI's and a Model for the Segmentation, Dimension, and Severity Estimation of Brain Tumors.
Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈
DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes
Sturgeon is a CNS neural network classifier
Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"
Brain scans for Cancer, Tumor and Aneurysm Detection and Segmentation
Predicting & Classifying Brain tumor using CNN model
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