Lxltxpku's Stars
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
mahmoodlab/CONCH
A vision-language foundation model for computational pathology - Nature Medicine
mahmoodlab/TITAN
Multimodal Whole Slide Foundation Model for Pathology
nadeemlab/DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
aws-samples/aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
ksugar/qupath-extension-sam
QuPath extension for Segment Anything Model (SAM)
MWod/DeeperHistReg
DeeperHistReg - Source Code
theislab/single-cell-transformer-papers
linhandev/dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
AI4SCR/VirtualMultiplexer
A generative toolkit to translate H&E images to multiplexed IHC
SH-Diao123/NPC-diagnosis-based-on-deep-learnig
Computer Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning
fightingkitty/Unpaired-Stain-Transfer-using-Pathology-Consistent-Constrained-Generative-Adversarial-Networks
hms-dbmi/CHIEF
Clinical Histopathology Imaging Evaluation Foundation Model
microsoft/LLaVA-Med
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
fedshyvana/pathology_mllm_training
openmedlab/PathoDuet
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
BiomedSciAI/histocartography
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
stardist/stardist
StarDist - Object Detection with Star-convex Shapes
TissueImageAnalytics/tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
GlastonburyC/RNAPath
Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
prov-gigapath/prov-gigapath
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
dmmoon/PathoRICH
TIO-IKIM/CellViT
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
MSKCC-Computational-Pathology/MIL-nature-medicine-2019
Srijay/SynCLay-Framework
deroneriksson/python-wsi-preprocessing
Python Whole Slide Image Preprocessing
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
lhaof/NuSeg
Official code implementation for paper 'Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework'
qinghezeng/ABRS-P
Deep learning predicts sensitivity to atezolizumab-bevacizumab from digital slides of liver cancer