ISIC2018
PulseAugur coverage of ISIC2018 — every cluster mentioning ISIC2018 across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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ConvNeXt-FD模型增强了生物医学图像分割能力
研究人员开发了ConvNeXt-FD，一种用于分割生物医学图像的新型深度学习模型。该模型采用了类似U-Net的结构，并以ConvNeXt为骨干，同时引入了一种包含基于分形维度的边界感知正则化项的新型损失函数。在六个不同数据集上的实验表明，ConvNeXt-FD（尤其是在ImageNet上预训练后）在准确性和边界检测方面优于现有方法。
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Deep neural networks combine Fisher Vectors with CNNs and ViTs for medical image classification
Researchers have developed a novel approach to enhance deep neural networks for medical image classification by integrating Fisher Vectors with hybrid CNN-ViT architectures. This method aims to improve performance on da…
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Researchers develop new AI methods for medical image segmentation and continual learning
Researchers are developing advanced techniques for medical image segmentation, addressing challenges like domain shifts and prompt dependency. One approach focuses on prompt-free, parameter-efficient fine-tuning of mode…