Voco: A simple-yet-effective volume contrastive learning framework for 3d medical image analysis

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Foundation model for advancing healthcare: Challenges, opportunities, and future directions

Y He, F Huang, X Jiang, Y Nie, M Wang, J Wang…�- arXiv preprint arXiv�…, 2024 - arxiv.org
Foundation model, which is pre-trained on broad data and is able to adapt to a wide range
of tasks, is advancing healthcare. It promotes the development of healthcare artificial�…
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Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

L Wu, Z Zhong, J Ma, Y Wei, H Chen, L Fang…�- arXiv preprint arXiv�…, 2024 - arxiv.org
Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by
weak labels, which is receiving significant attention due to its low annotation cost. Existing�…
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MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis

J Zhuang, L Wu, Q Wang, V Vardhanabhuti…�- arXiv preprint arXiv�…, 2024 - arxiv.org
The Vision Transformer (ViT) has demonstrated remarkable performance in Self-Supervised
Learning (SSL) for 3D medical image analysis. Mask AutoEncoder (MAE) for feature pre�…
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FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis

L Wu, J Zhuang, X Ni, H Chen�- arXiv preprint arXiv:2406.01264, 2024 - arxiv.org
AI-driven tumor analysis has garnered increasing attention in healthcare. However, its
progress is significantly hindered by the lack of annotated tumor cases, which requires�…
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