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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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06/15/2023
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
Masked autoencoder (MAE) has emerged as a promising self-supervised pret...
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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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04/14/2023
Scale Federated Learning for Label Set Mismatch in Medical Image Classification
Federated learning (FL) has been introduced to the healthcare domain as ...
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04/02/2023
Learning Agreement from Multi-source Annotations for Medical Image Segmentation
In medical image analysis, it is typical to merge multiple independent a...
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03/28/2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification
Whole Slide Image (WSI) classification remains a challenge due to their ...
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03/22/2023
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
Deep learning has seen rapid growth in recent years and achieved state-o...
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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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03/18/2022
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
Deep learning models were frequently reported to learn from shortcuts li...
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04/21/2021
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs
Deep learning has demonstrated radiograph screening performances that ar...
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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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06/06/2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
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05/15/2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Training deep neural networks usually requires a large amount of labeled...
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07/26/2019
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Optical Coherence Tomography (OCT) imaging plays an important role in gl...
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06/07/2019