病理切片的相关文章总结
1.数字病理学中的人工智能 — 用于诊断和精确肿瘤学的新工具
2.小样本学习研究综述(中科院计算所)
3.基于无监督组织分类的结直肠癌生存预测研究
4.常规组织病理学弱监督无标注癌检测与基因型预
5.肿瘤拓扑图+无监督深度学习
6.一种基于原型学习的多示例卷积神经网络
7Qualitative Histopathological Classification of Primary Bone Tumors Using Deep Learning: A Pilot Study
8.Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors
9.MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis
10.Weakly supervised tumor detection in whole slide image analysis
注意:弱监督学习在大数据集上的泛化性能要好于全监督学习在小数据集上的泛化性能
11.openslide与DeepZoomGenerator的使用方法介绍视频
12.Weakly-supervised, large-scale computational pathology for diagnosis & prognosis | Max Lu
13.Supervision and Source Domain Impact on Representation Learning:A Histopathology Case Study
病理图片数据扩增的相关方法
1.augmentations for computational pathology
2.WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma