Papers with Code · CC BY-SA 4.0

3D Medical Imaging Segmentation

8 평가 기록 4 datasets

3D medical imaging segmentation is the task of segmenting medical objects of interest from 3D medical imaging.

<span style="color:grey; opacity: 0.6">( Image credit: Elastic Boundary Projection for 3D Medical Image Segmentation )</span>

논문

Attention U-Net: Learning Where to Look for the Pancreas

1804.03999 2018-04-11 이 페이지의 평가 2건

Precision: 0.849Recall: 0.841

U-Net: Convolutional Networks for Biomedical Image Segmentation

1505.04597 2015-05-18 이 페이지의 평가 2건

Dice Score: 0.814Precision: 0.848Recall: 0.806

An application of cascaded 3D fully convolutional networks for medical image segmentation

1803.05431 2018-03-14 이 페이지의 평가 1건

Dice Score: 76.8

PanSAM: Zero-Shot, Prompt-Free Pancreas Segmentation in CT Imaging

2024-07-03 이 페이지의 평가 1건

Dice: 87.01

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

1709.04518 2017-09-13 이 페이지의 평가 1건

Dice Score: 0.845

Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation

1702.00045 2017-01-31 이 페이지의 평가 1건

Dice Score: 81.3