MDSkin-Net: Multi-Task Skin Lesion Analysis Driven by Pattern Analysis Priors and Spatial Alignment Regularization

arXiv:2609.30855 · cs.CV · Submitted 2026-09-25 · Read on arXiv

cs.CV

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• AUC — 30× in this paper · explained in 2 episodes
• Alignment — 23× in this paper · explained in 1 episode
• Transformer — 23× in this paper · explained in 2 episodes
• Ablation — 15× in this paper · explained in 1 episode
• Regularization — 8× in this paper · explained in 3 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Biased Asymmetry Attention — 3× in this paper
• Guided attention — 3× in this paper · explained in 2 episodes
• International Skin Imaging Collaboration — 3× in this paper
• Multi-Scale Spatial Attention — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Multi-Scale Spatial Alignment Regularization — 2× in this paper
• Pattern Analysis-Guided Attention Module — 2× in this paper
• Adversarial Model — 1× in this paper · explained in 1 episode
• Area Under the Curve — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Binary Cross-Entropy — 1× in this paper
• Computer Vision and Pattern Recognition — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Dice Similarity Coefficient — 1× in this paper
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Gaussian Error Linear Units — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Medical Image Computing and Computer-Assisted Intervention — 1× in this paper
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multi-Head Self-Attention — 1× in this paper
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Test-time augmentation (TTA) — 1× in this paper · explained in 2 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• A Multi-Task Deep Learning Framework for Skin Lesion Classification, ABCDE Feature Quantification, and Evolution Simulation
• MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
• 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)
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
• Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
• Attention U-Net: Learning Where to Look for the Pancreas
• Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble
• Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks

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