BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
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Updated
Sep 16, 2021 - Python
BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
nucleus/cell and histopathology image classification,detection,segmentation
Automated 3D cell detection in very large images
Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Efficient cell detection in large images using cellfinder in napari
MagellanMapper is a graphical interface for 3D bioimage annotation, atlas registration, and regional quantification
Standalone cellfinder cell detection algorithm
OCELOT 2023: Cell Detection from Cell-Tissue Interaction
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
Visualisation and analysis of brain imaging data
Harness deep learning and bounding boxes to perform object detection, segmentation, tracking and more.
SoftCTM 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.
Cell detection in holographic images.
Efficient point process inference for large scale object detection
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
Cell Detection and Cell Segmentation
Haar feature-based cascade classifier to detect infected cells with Malaria
Region-based Fitting of Overlapping Ellipses (original implementation by C. Panagiotakis and A.A. Argyros, Image Vis Comput 2020)
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
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