cell-classification

There are 1 repository under cell-classification topic.

TissueImageAnalytics / tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
python computational-pathology whole-slide-imaging deep-learning digital-pathology histopathology image-analysis machine-learning tissue-analysis tissue-segmentation cell-classification cell-segmentation medical-image-analysis stain-normalization
Language:Python 482
jianhuupenn / ItClust
Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
cell-classification clustering-algorithm machine-learning neural-network rna-seq single-cell transfer-learning
Language:Jupyter Notebook 54
monaen / Large-Scale-Multi-Class-Image-Based-Cell-Classification-with-Deep-Learning
Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning
cell-classification classification-algorithm medical-image-processing deep-learning convolutional-neural-networks cnn cnn-classification blood blood-cells cell-identification medical-imaging
Language:HTML 22
diba-lab / NeuroPy
Python package for analyzing ephys data
ripples placefield replay decoding brainstates-detection cell-classification cell-assembly reactivation firing-dynamics
Language:Jupyter Notebook 10
sairbarbaros / Cancer-Cell-Classifier-High-Acc
Predict which cell is cancerous with 96% accuracy using SVM machine learning algorithm.
cancer-classification cancer-detection cell-classification classification machine-learning medical medical-ai scikit-learn scikitlearn-machine-learning support-vector-machine
Language:Jupyter Notebook 8
smujiang / CellularComposition
Interactive modules to digitally annotate H&E whole slide images, construct cell and tissue level features and classify cell types. Specifically for a case study of differentiating borderline and high-grade serous ovarian tumors.
digital-pathology cell-classification image-classification morphology pathology
Language:Python 5
Cell-Morphology
tzmcion / Cell-Morphology
An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow)
cell-classification cell-segmentation watershed-algorithm optical-microscope-classification optical-microscope-segmentation resnet50-classification
Language:HTML 4
karl-gardner / cell_classification
Label Free Identification of Different Cancer Cells Using Deep Learning-Based Image Analysis
cancer cell-classification convolutional-neural-networks deep-learning machine-learning
Language:Jupyter Notebook 3
Meet2304 / Project-Phoenix
Project Phoenix uses deep learning to classify cervical cell images into five key diagnostic categories. Inspired by the myth of the Phoenix—rebirth through fire—this project aims to catch early signs of disease, turning data into second chances and diagnosis into hope.
cell-classification cervical-cancer computer-vision
Language:Jupyter Notebook 2
TechAvi-eng / cell-image-analysis
Cell image analysis pipeline for RPE cell identification, counting and maturity classification
cell-classification cell-counting cell-segmentation retinal-pigment-epithelium
Language:Python 2
digitalpathologybern / GrEp
Inference code for GrEp : Graph-based epithelial cell sub-classification refinement
cell-classification graph-neural-networks histopathology-image-analysis
Language:Python 1
Gustoaxel / Cell-Cycle
Non invasive live cell cycle monitoring using a supervised deep neural autoencoder onquantitative phase images
neural-network deep-learning machine-learning cell-biology cell cell-classification cell-counting
Language:Python 1
Leonard2310 / NanoparticleBreastCellClassification
Project on Neural Networks for Nanoparticle Breast Cell Classification - Machine Learning (MEng), supervised by Prof. C. Sansone and Eng. M. Gravina(2024)
breast-cancer-classification cell-classification cnn-classification deep-learning deep-neural-networks resnet-50
Language:Jupyter Notebook 1
wangwl / SingleCellNotes
Notes about single cell technology and computational analysis methods, including but not limitted to Genome, Epigenome, Transcriptome, Morphology, Connectome and the integrative analysis of information from these layers.
cell-classification single-cell
1
cjrobinson8 / Complex-Wound-Analysis-using-AI
Repository for publication outlining a number of computational models for complex wound analysis in both mice and humans.
cell-analysis cell-classification cell-segmentation computational-pathology digital-pathology histopathology pathology tissue-analysis tissue-classification tissue-segmentation wound wound-healing complex-wounds
0
emiliomercuri / Trad-204
Computer vision single cell Tradescantia clone 4430 set of 204 images.
cell-classification clone-4430 tradescantia
0
RaiBP / cell-estimator
Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.
active-learning blood-cell-counting blood-cell-detection cell-biology cell-classification cell-segmentation classification fastapi machine-learning python reactjs segmentation xgboost-classifier
Language:Python 0

cell-classification

TissueImageAnalytics / tiatoolbox

jianhuupenn / ItClust

monaen / Large-Scale-Multi-Class-Image-Based-Cell-Classification-with-Deep-Learning

diba-lab / NeuroPy

sairbarbaros / Cancer-Cell-Classifier-High-Acc

smujiang / CellularComposition

tzmcion / Cell-Morphology

karl-gardner / cell_classification

Meet2304 / Project-Phoenix

TechAvi-eng / cell-image-analysis

digitalpathologybern / GrEp

Gustoaxel / Cell-Cycle

Leonard2310 / NanoparticleBreastCellClassification

wangwl / SingleCellNotes

cjrobinson8 / Complex-Wound-Analysis-using-AI

emiliomercuri / Trad-204

RaiBP / cell-estimator