This supporting information movie displays segmentation results for all 13 vessels, in addition to the segmentation of one vessel that is provided in Figure 5. (ZIP)
The baseline is ImageNet-pre-trained CNN-LSTM; ours is the factory-segmentation-pre-trained CNN-LSTM. Scores were calculated using the macro average. The highest scores are expressed in a bold font.
These figures are the graphical results of my Master 2 internship on automatic segmentation using SAM2(Segment Anything Model 2) an artificial intelligence. The red line represents the best cell line
This dataset comprises 1038 sagittal spinal MRI images, each with a resolution of 384 × 384 pixels. The images are acquired using both T1- and T2-weighted sequences. Each image has been annotated with
