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EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
DiagSet: a dataset for prostate cancer histopathological image classification
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
使用Qwen1.5-0.5B-Chat模型进行通用信息抽取任务的微调，旨在： 验证生成式方法相较于抽取式NER的效果； 为新手提供简易的模型微调流程，尽量减少代码量； 大模型训练的数据格式处理。
1st place solution for the Kaggle PANDA Challenge
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Using Deep Learning for Pathology Image Quality Control
Hover-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
Access share reviewed code & Jupyter Notebooks for use on the UK Biobank (UKBB) Research Application Platform. Includes resources from DNAnexus webinars, online trainings and workshops.
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
The code of the paper "NExT-Chat: An LMM for Chat, Detection and Segmentation".
An interpretable approach based on trainable attention that identifies which regions in H&E slides of colorectal cancer are the most informative about RNA transcriptomics
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
This repo contains a JupyterLab notebook allowing individual SNPs to be filtered from the UKB genotyping data. A few approaches to filtering are provided, including options to filter by individual …