Whole slide image registration

CYAN: dynamic WSI histology image registration software
Source code: https://github.com/jkonglab/DigitalPathology

THERAPIST: multi-modal histology image registration by deep learning adversarial network
Source code: https://github.com/jkonglab/MultiStain_WSI_Registration_CycleGAN

KNIT: landmark selection and modification registration post-processing tool
Source code: https://github.com/jkonglab/LandMark_Registration

HistoRegNet: deep learning based registration model for immunohistochemistry histopathology images
Source code: Coming soon...

Pathology structure segmentation

LISTEN: spatial attention-based deep learning prediction of breast cancer pathological complete response with serial histopathology images in multiple stains
Source code: https://github.com/jkonglab/PCR_Prediction_Serial_WSIs_cells

MINDER: A human prior knowledge guided deep learning system with serial whole slide images in different stains
Source code: https://github.com/jkonglab/PCR_Prediction_Serial_WSIs_biomarkers

DELINEATE: deep learning steatosis segmentation
Source code:https://github.com/jkonglab/DELINEATE

LEATHER: foveal blur-boosted segmentation with shape priors
Source code:https://github.com/jkonglab/Foveat_Cell_Segmentation

DENSENESS:clumped nuclei segmentation software for fluorescence microscopy images
Source code:https://github.com/jkonglab/Fluorescent_Nuclei_Segregation

TREATS: viable tumor region segment ation software
Source code:https://github.com/jkonglab/Liver_Cancer_Segmentation

ISOLATION: steatosis droplet segmentation tool
Source code:https://github.com/jkonglab/Steatosis_Segmentation

FOREMOST: software for needle biopsy sampling error investigation
Source code:https://github.com/jkonglab/3D_Liver_Biopsy_Sampling

Predictive analytics

PARTITIONER:deep learning based breast cancer treatment response prediction with integrative imaging, molecular and demographic data
Source code: https://github.com/jkonglab/PCR_Prediction_MRI_Molecular_Demographics