Iterative H-minima Based Marker-Controlled Watershed for Cell Nucleus Segmentation

Deep learning-based instance segmentation tool for roundish objects in 2D and 2D+t data

Distance-transform-prediction-based segmentation method used for our submission to the 6th edition of the ISBI Cell Tracking Challenge 2021 as team KIT-Sch-GE (2) (now KIT-GE (3)).

Nuclear segmentation, classification and quantification within Haematoxylin & Eosin stained histology images. Our method has been newly developed for the CoNIC Challenge 2022, where we participated as team ciscnet.

Semantic segmentation of Nucleus to advance medical discovery using U-Net++.

Segmenting cells in sections of breast tissue biopsies to help diagnose breast cancer. Specifically a carcinomas under a type called TNBC.

Object Oriented Segmentation of Cell Nuclei in Fluorescence Microscopy Images

Our image analysis software performs segmentation of the cellular areas with cell surface expression of the prostate-specific membrane antigen to improve the precision of therapy and its customization

U-net segmentation code

Minimal impl of the paper `Adaptive Local Thresholding for Detection of Nuclei in Diversely Stained Cytology Images`

Image segmentation of the nucleus of HeLa cells using TensorFlow and Keras.