Topic: nih-chest-x-ray Goto Github
Some thing interesting about nih-chest-x-ray
Some thing interesting about nih-chest-x-ray
nih-chest-x-ray,Weakly supervised Classification and Localization of Chest X-ray images
User: alinstein
nih-chest-x-ray,"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.
User: dynamo13
nih-chest-x-ray, Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
User: etetteh
nih-chest-x-ray,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.
User: mj2021
nih-chest-x-ray,ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification
User: rafizunaed
Home Page: https://ieeexplore.ieee.org/document/10371304
nih-chest-x-ray,Implementation of Deep Neural Networks to solve Medical Image Classification using Chest XRay Images
User: roshansadath
nih-chest-x-ray,Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
User: tayebiarasteh
nih-chest-x-ray,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
User: vladih
nih-chest-x-ray,A multi-label-classification model for common thorax disease.
User: wangleihitcs
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