Lesion Segmentation
病灶分割是医学影像处理中的重要任务,旨在从其他组织结构中精准分离出病变区域。该技术通过高级算法实现对病灶的自动识别与边界划分,为临床诊断、治疗规划及疗效评估提供关键支持。
Anatomical Tracings of Lesions After Stroke (ATLAS)
MGA-Net
Anatomical Tracings of Lesions After Stroke (ATLAS)
D-UNet
BUS 2017 Dataset B
Attn U-Net + Multi-Input + FTL
HAM10000
DermoSegDiff-B
ISIC 2017
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
ISIC 2018
Polar Res-U-Net++
ISIC 2018 Task 1
DCSAU-Net
ISLES-2015
3D CNN + CRF
PH2
University of Waterloo skin cancer database
DTP-Net