SegFormer two-class segmentation tracks catheter tips in fluoroscopy with 4.44 mm mean absolute error on moderate-complexity data, outperforming U-Net variants and prior CathAction benchmarks by up to 5% Dice.
Catheter segmentation in x-ray fluoroscopy using synthetic data and transfer learning with light u-nets.Computer Methods and Programs in Biomedicine, 192:105420, 2020
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Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy
SegFormer two-class segmentation tracks catheter tips in fluoroscopy with 4.44 mm mean absolute error on moderate-complexity data, outperforming U-Net variants and prior CathAction benchmarks by up to 5% Dice.