Initialization and Stopping Tolerance in CPU Dermoscopic Segmentation

arXiv:2609.25685 · cs.CV, eess.IV · Submitted 2026-09-22 · Read on arXiv

cs.CV, eess.IV

Submitted: 2026-09-22

Updated: 2026-10-06

Code: https://github.com/flyingU-ai/isic2017

Terminology

• Transformer — 12× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• U-net architecture — 2× in this paper · explained in 3 episodes
• Adaptive Algorithm — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• nnU-Net — 1× in this paper · explained in 2 episodes

Sources

• Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
• Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
• LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
• MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
• DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
• Attention U-Net: Learning Where to Look for the Pancreas
• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
• EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
• UNeXt: MLP-based Rapid Medical Image Segmentation Network
• SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
• HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection
• Generalization Boosted Adapter for Open-Vocabulary Segmentation
• PSTNet: Enhanced Polyp Segmentation with Multi-scale Alignment and Frequency Domain Integration
• SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection
• A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model

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