TorchXRayVision: A library of chest X-ray datasets and models

Autor:	Cohen, Joseph Paul, Viviano, Joseph D., Bertin, Paul, Morrison, Paul, Torabian, Parsa, Guarrera, Matteo, Lungren, Matthew P, Chaudhari, Akshay, Brooks, Rupert, Hashir, Mohammad, Bertrand, Hadrien
Rok vydání:	2021
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models. It provides a common interface and common pre-processing chain for a wide set of publicly available chest X-ray datasets. In addition, a number of classification and representation learning models with different architectures, trained on different data combinations, are available through the library to serve as baselines or feature extractors. Comment: Library source code: https://github.com/mlmed/torchxrayvision
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2111.00595 Zobrazit plný text záznamu View this record from Arxiv