cell-detection
There are 2 repositories under cell-detection topic.
Shenggan / BCCD_Dataset
BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
Language:Python 359blakeliu / awesome-cell-detection-segmentation
nucleus/cell and histopathology image classification,detection,segmentation
- cellfinder
brainglobe / cellfinder
Automated 3D cell detection in very large images
Language:Python 170 FZJ-INM1-BDA / celldetection
Instance Segmentation with PyTorch & PyTorch Lightning.
Language:Python 113mkang315 / ASF-YOLO
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
breast-cancer-cellbreast-cancer-segmentationcell-detectioncell-segmentationcomputer-vision-algorithmsdata-science-bowl-2018deep-learning-frameworkdeep-neural-networksdetection-segmentation-algorithmhematoxylin-eosin-staininghistopathology-image-analysisinstance-segmentationlesion-segmentationmedical-image-analysismedical-image-computingmedical-image-processingmedical-image-segmentationnuclei-segmentationnucleus-detectionyoloLanguage:Python 48Efficient cell detection in large images using cellfinder in napari
Language:Python 24sanderslab / magellanmapper
MagellanMapper is a graphical interface for 3D bioimage annotation, atlas registration, and regional quantification
Language:Python 20Standalone cellfinder cell detection algorithm
Language:Python 19lunit-io / ocelot23algo
OCELOT 2023: Cell Detection from Cell-Tissue Interaction
Language:Python 17SainsburyWellcomeCentre / neuro
Visualisation and analysis of brain imaging data
Language:Python 10AlphonsG / EPIC-BBox-Cell-Tracking
Harness deep learning and bounding boxes to perform object detection, segmentation, tracking and more.
Language:Python 8Boli-trainee / MHFAN
Cell localization and counting: 1) Exponential Distance Transform Maps for Cell Localization; 2) Multi-scale Hypergraph-based Feature Alignment Network for Cell Localization; 3) Lite-UNet: A lightweight and efficient network for cell localization
Language:Python 8lely475 / ocelot23algo
Approach that won 3rd place in the OCELOT 2023 Challenge. Multi-organ H&E-based deep learning model for cell detection, applicable for tumor cellularity/ purity/ content estimation.
Language:Python 7- Language:Python 7
trungtpham / point_process_optimisation
Efficient point process inference for large scale object detection
Language:MATLAB 4BMCV / SuperDSM
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
Language:Python 2Rajaguhan437 / Cell_Detect-Quantitative-Representation
Cell Detection and Cell Segmentation
Language:Jupyter Notebook 2emeyva / assessing-malaria-blood-samples
Haar feature-based cascade classifier to detect infected cells with Malaria
Language:Java 1kostrykin / rfove
Region-based Fitting of Overlapping Ellipses (original implementation by C. Panagiotakis and A.A. Argyros, Image Vis Comput 2020)
Language:MATLAB 1OldBonhart / Histopathologic-Cancer-Detection
Соревнование бинарной классификации на Kaggle
Language:Jupyter Notebook 1YaelLifshitz / Cell-Detection-and-Intensity---Python-3
For my final project at University, I created a program that detect the cells within a photo and calculate the intensity per pixel. That allowed us to see the difference between the liposomes absorption in different types of cells
Language:Python 1artcmd / SAM-cell-detection
SAM on medical images based on https://github.com/facebookresearch/segment-anything
Language:Jupyter Notebook 0jatin7gupta / Cancer-Cells-Detection-Tracking
Detecting and Tracking cancer (HeLa) cells using Computer Vision techniques. The project also detects cell division and analyses cell motion such as speed, distance travelled etc. The project uses OpenCV3 for image processing.
Language:Python 0PTRRupprecht / Cell_Detection
Python code for merging and refinement of detected neurons in large 3D stacks
Language:Python
