z-pan

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

DVMSR

NTIRE Workshop and Challenges @ CVPR 2024

MRH-Net

Training a local neural network from multiple MRI to histology

UNiFMIR

Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration

DyNet

Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!

lacss

A deep learning model for single cell segmentation from microsopy images.

cellcutter

CONCH

A vision-language foundation model for computational pathology - Nature Medicine

DeepDOF-SE

U-Frame

D-LMBmap

QuLabAO

foundation-cancer-image-biomarker

Code and evaluation repository for the paper

SLRnet

Speckle light field retrieval network

shanel-network

Image analysis code for the SHANEL paper

vessap

Experimental code and examples for: Automated analysis of whole brain vasculature using machine learning

MedSAM

Segment Anything in Medical Images

SalienceNet

AdaPS

Adaptive optimization for multi-foci generation

AdaPS

Adaptive optimization for multi-foci generation

imaging_tools

A table containing imaging analysis tools for biology, with a focus on calcium imaging.

Pseudo_HE_modelling

MIL-nature-medicine-2019

PhaseFIT

Phase-IF image transformation for organoids' phenotypic study

s-vision

Code repository for "Self-Supervised Deep Learning Two-Photon Microscopy"

BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

HEMnet

A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues

NuInsSeg

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images

HistoSeg

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.