GitHub - vladiH/TransformerModelsChestXray: Comprehensive Performance Analysis of Three Pretrained Transformer Models (ViT, Swin, and MaxViT) on ImageNet and Fine-tuned on the NIH Chest X-rays Dataset for Classifying 14 Chest Radiograph Pathologies

Name		Name	Last commit message	Last commit date
configs		configs
data		data
models		models
output		output
.gitignore		.gitignore
__init__.py		__init__.py
config.py		config.py
data_aug.png		data_aug.png
examples.ipynb		examples.ipynb
gflops_modelo.png		gflops_modelo.png
grafica_auc_por_clase.png		grafica_auc_por_clase.png
grafico_auc.png		grafico_auc.png
log.txt		log.txt
logger.py		logger.py
lr_scheduler.py		lr_scheduler.py
main.py		main.py
optimizer.py		optimizer.py
population_base_training.py		population_base_training.py
redimiento_vs_velocidad.png		redimiento_vs_velocidad.png
rendimiento_flops.png		rendimiento_flops.png
rendimiento_flops1.png		rendimiento_flops1.png
rendimiento_velocidad.png		rendimiento_velocidad.png
rendimiento_velocidad1.png		rendimiento_velocidad1.png
rendimiento_vs_operaciones.png		rendimiento_vs_operaciones.png
rendimiento_vs_parametros.png		rendimiento_vs_parametros.png
requirements.txt		requirements.txt
utils.py		utils.py
velocidad_complejidad.png		velocidad_complejidad.png
velocidad_complejidad1.png		velocidad_complejidad1.png

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Comprehensive Performance Analysis of Three Pretrained Transformer Models (ViT, Swin, and MaxViT) on ImageNet and Fine-tuned on the NIH Chest X-rays Dataset for Classifying 14 Chest Radiograph Pathologies

maxvit nih-chest-x-ray performance-comparison swin-transformer vision-transformer xray-images

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