DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
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Updated
Jul 18, 2024 - C++
DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
Clinical oncology tumor board decision support system made by the Decider project.
Personal Cancer Genome Reporter (PCGR)
Mouse nEoanTigen pRedictOr
workflow wraps HLA-VBSeq, a tool for estimating the most prevalent HLA types in a sample
Sturgeon is a CNS neural network classifier
Predicting & Classifying Brain tumor using CNN model
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.
image processing exercises with google colab
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
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 😈😈
3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes
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
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