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
Instance Segmentation with PyTorch & PyTorch Lightning.
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
Visualisation and analysis of brain imaging data
Harness deep learning and bounding boxes to perform object detection, segmentation, tracking and more.
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
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.
Cell detection in holographic images.
Efficient point process inference for large scale object detection
Cell Detection and Cell Segmentation
SuperDSM is a globally optimal segmentation method based on superadditivity and deformable shape models for cell nuclei in fluorescence microscopy images and beyond.
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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