#计算机科学#Open source tools for computational pathology - Nature BME
#计算机科学#QuPath - Open-source bioimage analysis for research
#计算机科学#Cancer metastasis detection with neural conditional random field (NCRF)
#计算机科学#The PatchCamelyon (PCam) deep learning classification benchmark.
翻译 - PatchCamelyon（PCam）深度学习分类基准。
#计算机科学#Tools for computational pathology
翻译 - 计算病理学工具
Towards a general-purpose foundation model for computational pathology - Nature Medicine
Library for Digital Pathology Image Processing
A vision-language foundation model for computational pathology - Nature Medicine
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extra...
Fusing Histology and Genomics via Deep Learning - IEEE TMI
#计算机科学#Powerful, open-source AI tools for digital pathology.
#计算机科学#A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
#数据仓库#Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
cGAN-based Multi Organ Nuclei Segmentation
#计算机科学#AI-based pathology predicts origins for cancers of unknown primary - Nature
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024