The official start-up code for paper "FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark."

Last update: Dec 16, 2022

Related tags

Deep Learning FFA-IR

Overview

FFA-IR

The official start-up code for paper "FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark."

The framework is inherited from R2Gen.

Data

Our dataset, including all FFA images and annotation files, is available on PhysioNet.

To extract all the files, please first download all the files in FFAIR, and use the command "cat FAIR.tar.gz.* | tar -zxv". Then the name of each directory refers to the case ID, and all the FFA images are provided.

Please put the data and annotation files in 'code/data' directory. Or you can change the code in main.py to fit your own condition.

Requirements

torch==1.5.1
torchvision==0.6.1
opencv-python==4.4.0.42

Training

You can directly run our code by the following:

python main.py

Contact

If you are interested in this dataset or have any questions, please connect us: [email protected].

Owner

Mingjie

Ph.D. Candidate in Monash University

GitHub Repository

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The official start-up code for paper "FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark."

Related tags

Overview

FFA-IR

Data

Requirements

Training

Contact

Owner

Mingjie

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.

Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

PyTorch implementation of hand mesh reconstruction described in CMR and MobRecon.

Build fully-functioning computer vision models with PyTorch

Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks.

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Convolutional neural network that analyzes self-generated images in a variety of languages to find etymological similarities

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