ShanshanSoong

Fibro-CoSANet

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end-to-end multi-modal learning-based approach, to predict the FVC decline. Fibro-CoSANet utilized CT images and demographic information in convolutional neural network frameworks with a stacked attention layer. Extensive experiments on the OSIC Pulmonary Fibrosis Progression Dataset demonstrated the superiority of our proposed Fibro-CoSANet by achieving the new state-of-the-art modified Laplace Log-Likelihood score of -6.68. This network may benefit research areas concerned with designing networks to improve the prognostic accuracy of IPF.

Awesome-CL-in-Medical

X-REM

BGNet

Boundary-Guided Camouflaged Object Detection

MedPromptX

SAM-Med3D

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

scene_graph_benchmark

image scene graph generation benchmark @ torch1.12

PLURAL

Scene-Graph-Benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

PairGCN

Code for the paper "End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network" (COLING'20).

U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

vilmedic

ViLMedic (Vision-and-Language medical research) is a modular framework for vision and language multimodal research in the medical field

gifsplanation

Gifsplanation - Explaining neural networks with gifs!

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Longitudinal-Chest-X-Ray

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

MRES

This repo holds the official code and data for "Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation", accepted by CVPR 2024.

AdaptiveFSS

Adaptive FSS has been Accepted by AAAI 2024. A Novel Few-Shot Segmentation Framework via Prototype Enhancement

DCL

Official code for "Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation" (CVPR 2023)

GPT2-Chest-X-Ray-Report-Generation

This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'

cxrmate

CXRMate: Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Synonyms

:herb: 中文近义词：聊天机器人，智能问答工具包

Bert_sentence_similarity

Bert预训练模型fine-tune计算文本相似度

MarkTool

DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验、自动合并和手动调整，提高了标注结果的准确率。

mvqa-kg

Bilingual Medical Knowledge Graph

MulLowBiVQA

Hadamard Product for Low-rank Bilinear Pooling

LAMA

LAnguage Model Analysis

visualbert

Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

VQA-Transformer

Visual Question Answering through transformers.