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Skin

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AMiiR-S/Inceptnet_cancer_recognition

공식 코드

INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses

https://github.com/AnandK27/GS-TransUNet

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GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis

https://github.com/DIDSR/ssynth-release

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S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

https://github.com/Guo-Xiaoqing/Skin-Seg

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Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation

https://github.com/HiLab-git/CA-Net

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CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

https://github.com/Jwicaksana/FedNPR

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Non-parametric regularization for class imbalance federated medical image classification

https://github.com/MinaJf/DRU-net

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DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation

https://github.com/NoviceMAn-prog/MSRF-Net

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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

https://github.com/SiyuanYan1/PanDerm

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A Multimodal Vision Foundation Model for Clinical Dermatology

https://github.com/Woodman718/FixCaps

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Method to Classify Skin Lesions using Dermoscopic images

https://github.com/WuJunde/MrPrism

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Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle

https://github.com/YeongChanLee/WonDerM_ISIC2018_SkinLesionAnalysis

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WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks

https://github.com/adriano-lucieri/shape-bias-in-dermoscopy

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Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

https://github.com/alceubissoto/debiasing-skin

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Debiasing Skin Lesion Datasets and Models? Not So Fast

https://github.com/arezou-pakzad/circle

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CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

https://github.com/aryan-at-ul/electronic-imaging-2025-paper-4492

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Image Segmentation: Inducing graph-based learning

https://github.com/asgsaeid/KernelizedManifoldMapping

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A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

https://github.com/autumn9999/mtc-with-category-shifts

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Association Graph Learning for Multi-Task Classification with Category Shifts

https://github.com/baobao0926/asp-vmunet

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ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation

https://github.com/chunyuyuan/mucm-net

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MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation

https://github.com/chunyuyuan/ucm-net

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UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN

https://github.com/clu5/aaai22

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Fair Conformal Predictors for Applications in Medical Imaging

https://github.com/cristianopatricio/coherent-cbe-skin

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Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

https://github.com/cristianopatricio/concept-based-interpretability-vlm

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Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models

https://github.com/devd1092/ood-skin-lesion

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Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

https://github.com/dipaco/mole-classification

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Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging

https://github.com/dylan-h-wang/skin-sm3

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Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification

https://github.com/enkiwang/portable-skin-lesion-diagnosis

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SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images

https://github.com/fabioperez/skin-data-augmentation

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Data Augmentation for Skin Lesion Analysis

https://github.com/fangzhuoyi/xlstm-vmunet

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When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion Segmentation

https://github.com/feevos/ssg2

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SSG2: A new modelling paradigm for semantic segmentation

https://github.com/felixwag/staralign

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Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment

https://github.com/fitushar/Skin-lesion-Segmentation-using-grabcut

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Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space

https://github.com/haoshao-nku/medical_seg

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MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention

https://github.com/hasibzunair/adversarial-lesions

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Melanoma Detection using Adversarial Training and Deep Transfer Learning

https://github.com/hazardfy/fiba

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FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis

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