Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

🌸 Breast epithelium segmentation through IHC-guided supervision

An application for exporting and analysing tissue array whole slide image files

A benchmark of histopathology Foundation Models on multi-stain Immunohistochemistry immune datasets AIM-FM workshop @ NeurIPS 24

IHC image real time analyzer

ImaGene: A multi-omic ML/AI software with guided operational reports and supporting files

Cell segmentation of multi-channel images

The source code & experiments for the paper: Assessment of Ki-67 proliferation index with deep learning in DCIS (ductal carcinoma in situ)

Automated segmentation of H&E and Immunohistochemistry stained synovial tissue in histopathology Whole Slide Images - MIUA 2023

IHC scoring of multi-channel images

Proteomics and IHC data analysis for LGSC and SBT tumour microenvironment study.

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.

Image processing desktop GUI tool to automate colocalization analysis across multiple channels on a fluorescence image