%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Skinsam
S
Skinsam
Developed by ahishamm
SkinSAM is a skin lesion segmentation model based on a 12-layer ViT-b architecture, fine-tuned on ISIC and PH2 datasets, focusing on precise segmentation of skin lesion images.
Downloads 71
Release Time : 7/9/2023
Model Overview
This model is primarily used for skin lesion segmentation tasks in medical image analysis, capable of accurately identifying and segmenting skin lesion regions, suitable for dermatological diagnosis and research.
Model Features
High-Precision Segmentation
Outstanding performance on ISIC and PH2 datasets, achieving a maximum Intersection over Union (IOU) of 86.68%.
Specialized Medical Application
Designed specifically for skin lesion images, suitable for medical diagnosis and research scenarios.
Efficient Training
Trained using Nvidia Tesla A100 40GB GPU to ensure model performance.
Model Capabilities
Skin Lesion Image Segmentation
Medical Image Analysis
High-Precision Pixel-Level Recognition
Use Cases
Medical Diagnosis
Automatic Skin Lesion Segmentation
Automatically identifies and segments skin lesion regions to assist doctors in diagnosis.
Achieves 78.25% IOU on the ISIC dataset and 86.68% IOU on the PH2 dataset.
Medical Research
Dermatology Research Assistance
Provides precise lesion region analysis tools for dermatological research.
High-precision segmentation results help quantify lesion characteristics.
Featured Recommended AI Models
Š 2025AIbase