MaxViT Tiny
PulseAugur coverage of MaxViT Tiny — every cluster mentioning MaxViT Tiny across labs, papers, and developer communities, ranked by signal.
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Deep learning approach improves ovarian ultrasound classification accuracy
Researchers have developed a lesion-guided region-of-interest (ROI) deep learning approach for ovarian ultrasound classification, achieving high accuracy while reducing annotation effort. This method was evaluated on tw…
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New ensemble deep learning framework enhances skin lesion classification accuracy
Researchers have developed a new deep learning framework for classifying skin lesions from medical images. This framework combines a vision transformer model, MaxViT-Tiny, with two convolutional neural network models, C…
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New AI framework enhances skin lesion classification with uncertainty and explainability
Researchers have developed a new framework for classifying skin lesions that combines deep ensemble learning with uncertainty quantification and explainability techniques. This approach uses multiple models, including v…
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Deep Learning Models Compared for Skin Cancer Detection
Researchers have conducted a comprehensive evaluation of twelve deep learning models for skin cancer detection, comparing convolutional neural networks (CNNs), vision transformers (ViTs), hybrid models, and vision-langu…
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Deep Learning Models Compared for Skin Cancer Detection
Researchers have conducted a comprehensive evaluation of twelve deep learning models for detecting skin cancer using a unified approach on the PAD-UFES-20 dataset. The study compared convolutional neural networks (CNNs)…