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)).

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

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.

Object Oriented Segmentation of Cell Nuclei in Fluorescence Microscopy Images

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

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.