Papers with Code · CC BY-SA 4.0
Medical Image Segmentation
Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.
<span style="color:grey; opacity: 0.6">( Image credit: IVD-Net )</span>
하위 태스크
RV
Retinal Vessel Segmentation
VP
Video Polyp Segmentation
LS
Lesion Segmentation
BT
Brain Tumor Segmentation
CS
Cell Segmentation
SM
Semi-supervised Medical Image Segmentation
LN
Lung Nodule Segmentation
LS
Liver Segmentation
3M
3D Medical Imaging Segmentation
SL
Skin Lesion Segmentation
BI
Brain Image Segmentation
EM
Electron Microscopy Image Segmentation
PV
Pulmorary Vessel Segmentation
NS
Nuclear Segmentation
SC
Skin Cancer Segmentation
IS
Iris Segmentation
AS
Acute Stroke Lesion Segmentation
BS
Brain Segmentation
VM
Volumetric Medical Image Segmentation
IB
Infant Brain Mri Segmentation
MS
MRI segmentation
AP
Automated Pancreas Segmentation
AL
Automatic Liver And Tumor Segmentation
BL
Brain Lesion Segmentation From Mri
BV
Brain Ventricle Localization And Segmentation In 3D Ultrasound Images
CI
COVID-19 Image Segmentation
CS
Cardiac Segmentation
CN
Cerebrovascular Network Segmentation
IS
Ischemic Stroke Lesion Segmentation
PS
Placenta Segmentation