Python code for merging and refinement of detected neurons in large 3D stacks

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.

SAM on medical images based on https://github.com/facebookresearch/segment-anything

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

Соревнование бинарной классификации на Kaggle

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.

Efficient point process inference for large scale object detection

Cell detection in holographic images.

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.

Harness deep learning and bounding boxes to perform object detection, segmentation, tracking and more.

Visualisation and analysis of brain imaging data

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

OCELOT 2023: Cell Detection from Cell-Tissue Interaction

Standalone cellfinder cell detection algorithm

MagellanMapper is a graphical interface for 3D bioimage annotation, atlas registration, and regional quantification

Efficient cell detection in large images using cellfinder in napari

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".