Stars
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
[EMNLP'24] Code and data for paper "Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models"
The related works and background techniques about Openai o1
Galgame翻译器，支持HOOK、OCR、剪贴板等。Visual Novel Translator , support HOOK / OCR / clipboard
[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
An end-to-end benchmark suite of multi-modal DNN applications for system-architecture co-design
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
This is a simple Python wrapper to run the ROUGE package for evaluation of automatic summaries.
Implementation for paper BLEU: a Method for Automatic Evaluation of Machine Translation
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".
Self-supervisedLearning -- ContrastiveLearning in multi-organ segmentation
This repository is made for the paper: Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering
[COMMSENG'24, TMI'24] Interactive Computer-Aided Diagnosis using LLMs
[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
MANet : Multi-branch attention auxiliary learning for lung nodule detection and segmentation