m2caiSeg
Introduced by Maqbool et al. in m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks
Created from endoscopic video feeds of real-world surgical procedures. Overall, the data consists of 307 images, each of which is annotated for the organs and different surgical instruments present in the scene.
Source: m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural NetworksPapers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
