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06/23/2023
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
Deep learning (DL)-based rib fracture detection has shown promise of pla...
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05/30/2023
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images
Convolutional Neural Networks (CNNs) have shown remarkable progress in m...
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07/05/2022
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans
Most of the existing object detection works are based on the bounding bo...
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04/07/2021
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
With availability of huge amounts of labeled data, deep learning has ach...
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04/07/2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
The novel coronavirus disease 2019 (COVID-19) characterized by atypical ...
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04/07/2021
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
Chest X-ray (CXR) is the most typical medical image worldwide to examine...
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10/13/2020
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
The whole slide histopathology images (WSIs) play a critical role in gas...
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07/21/2020
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
Deep learning methods show promising results for overlapping cervical ce...
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05/03/2019
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
Automatic detection of cancer metastasis from whole slide images (WSIs) ...
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08/13/2017
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning
In this paper, we propose a novel framework with 3D convolutional networ...
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07/30/2017
