nih-chest-x-ray
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A multi-label-classification model for common thorax disease.
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Dec 17, 2018 - Python
Weakly supervised Classification and Localization of Chest X-ray images
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Apr 22, 2021 - Python
Implementation of Deep Neural Networks to solve Medical Image Classification using Chest XRay Images
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Apr 17, 2023 - Jupyter Notebook
"Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray" by Debojyoti Pal, Pailla Balakrishna Reddy, and Sudipta Roy.
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Sep 1, 2023 - Jupyter Notebook
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
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Oct 17, 2022 - Python
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
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Apr 28, 2024 - Python
Designed a machine learning model to predict the diseases from the images of chest X-Ray comprising of 14 diseases using novel approaches like mobile net, efficient net and try to build upon it using some new approaches like federated learning and wavelets based techniques.
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Mar 15, 2024 - Jupyter Notebook
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
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Sep 29, 2023 - Jupyter Notebook
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
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Dec 19, 2023 - Python
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