TIA Lab - Software
- Deep learning code for cell detection and phenotyping in H&E images (Feb 2017) [ code for our TMI May 2016 paper; available on request by email to Nasir Rajpoot; Labelled cell nuclei data ]
- Cell Words for modelling the appearance of cells in histopathology images (March 2015)
- Stain normalization toolbox for histopathology images (Feb 2015)
- THeCoT: Spatial Model of Tumour Heterogeneity in Colorectal Adenocarcinoma (BMC Bioinformatics, 2015)
- Registration of thermal and visbile light images using silhouette extraction in the wavelet domain (Pattern Recognition, 2015)
- DiSWOP: Cell localised protein network analysis (Bioinformatics, 2014)
- GBHC: Bayesian Hierarchical Clustering with a Gussian Conjugate Prior for clustering of Gene Expression profiling data (PLoS ONE, 2014)
- Cell/Nuclei Detection using LIPSyM for H&E and H&DAB histopathology images (J Path Informatics, 2012)
- RAMTaB Registration for multi-tag fluorescent images such as those generated by TIS (PLoS ONE, 2012)
- LiMISGA Cell Grading for 3-color fluorescent microscopy images (J Biotechnology, 2011)
- Multilatering Filtering for digital image denoising (Pattern Recognition, 2012)
- TIWP3D Denoising for digital video restoration (ICIP, 2004)
More coming soon