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Found 5 papers, 1 papers with code
Self-paced Resistance Learning against Overfitting on Noisy Labels
They might significantly deteriorate the performance of convolutional neural networks (CNNs), because CNNs are easily overfitted on corrupted labels.
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Given image labels as the only supervisory signal, we focus on harvesting, or mining, thoracic disease localizations from chest X-ray images.
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Then we review their recent applications in medical image analysis and point out limitations, with the goal to light some potential directions in medical image analysis.
Revisiting Graph Construction for Fast Image Segmentation
In this paper, we propose a simple but effective method for fast image segmentation.
SemiContour: A Semi-supervised Learning Approach for Contour Detection
In this paper, we investigate the usage of semi-supervised learning (SSL) to obtain competitive detection accuracy with very limited training data (three labeled images).
