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Uncertainty- and hardness-weighted loss functions for medical image segmentation. [PDF]
Zheng Y +7 more
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We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
Lightweight dual-watermarking framework for medical image authentication and integrity preservation. [PDF]
Taj R +5 more
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Ensemble-based high-performance deep learning models for medical image retrieval in breast cancer detection. [PDF]
Fawzy AE +3 more
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All-in-one medical image-to-image translation. [PDF]
Han L +12 more
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Federated nnU-Net for privacy-preserving medical image segmentation. [PDF]
Skorupko G +13 more
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AI-driven medical image analysis for sports injury diagnosis and prevention. [PDF]
Yin M.
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A New Encoding Architecture Based on Shift Multilayer Perceptron and Transformer for Medical Image Segmentation. [PDF]
Zhong H, Yang J, Wu Y, Yi J.
europepmc +1 more source
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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
ECCV Workshops, 2021In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao +6 more
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