tumor-classification

AntonioDeFalco/SCEVAN

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.

namanbansalcodes/Brain-Tumor-Diagnosis-using-Deep-Learning

Deep Learning Model that classifies brain tumor from images

farazahmeds/Classification-of-brain-tumor-using-Spatiotemporal-models

Classification of brain tumor in MR images using deep spatiospatial models.

LidiaGarrucho/MAMA-MIA

The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

AryaAftab/tumor-type-classification

Tumor type classification with traditional feature extractions and classifiers.

sopeeweje/Bone-MRI

Deep Learning for Classification of Bone Lesions on Routine MRI

JZK00/TDA_MedIA_Tumor

Topological data analysis (TDA) in medical image analysis

AHMEDSANA/Binary-class-Brain-Tumor-classification.

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.

brj0/mepylome

Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files

wxy12151/Brain-tumor-binary-and-multiple-classifications-by-classical-ML-methods-and-CNN

assassint2017/Ocular-tumor-Classification

Use deep learning to identify ocular tumor types

Jonyyqn/scMalignantFinder

scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.

lbulic1003/TumorMicroArr_ML-2024

Tumor Identification Based on Machine Learning Analysis of Microarray Data (2024)

pranav-on-github/TumorDiagnoseAI

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.

Prometheussx/Cancer_Classification_NaiveBayes

Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered

Rahulraj31/Brain_Tumor_ImageClassification

Classification of Brain tumor

afolabi022/logistic-regression

The goal of this project is to develop a tumor detection model utilizing logistic regression. This model aims to analyze medical imaging data and predict the likelihood of the presence of tumors.

gnoanto94/tumor-classification

[a.a. 22/23] G. Antonucci, N. Pagliara

mohammad95labbaf/Brain-Tumor-TransferLearning

The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). 🧠🔍

NirajanBekoju/Malignant-and-Benign-Tumor-Diagnosis

Classification of Benign and Malignant Tumor

raulalmuzara/tumor-classification-pca-svm

Principal Component Analysis and Support Vector Machine for tumor classification in patients from the original Wisconsin breast cancer database.

strumenti-formali-per-la-bioinformatica/tumor-classification

[a.a. 22/23] G. Antonucci, N. Pagliara

christopherkormpos/TumorNet-thesis

As part of the Thesis project, an Artificial Intelligence model was trained to classify breast tumors from ultrasound images as benign or malignant. Additionally, a user-friendly web application was created with Python for the backend and ReactJS for the frontend.

Engineer1080/BrainDiseaseDetection

An attempt to build accurate models for detecting various brain diseases

gxanesh/RSNA_MGMT_Classification

Brain tumor classification based on MGMT methylation status present on the tumor cell.

march038/SciKit-Cancer-Classification

Use Logistic Regression and Supported Vector Machines (both in scikit-learn) to classify whether a tumor is malignant or benign

nirmals-workspace/Tumor-Prediction

Tumor Prediction Web App