Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
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Updated
Sep 21, 2024 - Python
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
Deep Learning Model that classifies brain tumor from images
Classification of brain tumor in MR images using deep spatiospatial models.
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
Deep Learning for Classification of Bone Lesions on Routine MRI
Topological data analysis (TDA) in medical image analysis
In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.
Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files
Use deep learning to identify ocular tumor types
scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.
Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered
A Real-Time Multi Class Brain Tumor Classifier to Classify Brain Tumors using ConvNets (CNNs) and ANN as an asset of Deep Learning and to examine the position of the tumor.
Tumor Identification Based on Machine Learning Analysis of Microarray Data (2024-2025)
Classification of Brain tumor
An MRI tumor classification with AI chat bot
Brain tumor classification based on MGMT methylation status present on the tumor cell.
Principal Component Analysis and Support Vector Machine for tumor classification in patients from the original Wisconsin breast cancer database.
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