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awesome veo3/veo3.1/kling/hailuo video prompts
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
Multi-task learning for image classification implemented in PyTorch.
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
Learning Bottleneck Concepts in Image Classification (CVPR 2023)
Powerful, open-source AI tools for digital pathology.
Official repository of Slide-Transformer (CVPR2023)
首个临床级别的 AI 系统可用源码
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A pan-cancer platform for mutation prediction from routine histology
This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"