The Fully Convolutional Transformer for Medical Image Segmentation

1 June 2022

Papers citing "The Fully Convolutional Transformer for Medical Image Segmentation"

6 / 6 papers shown

Title
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Athanasios Tragakis Chaitanya Kaul Kevin J. Mitchell H. Dai R. Murray-Smith Daniele Faccio MDE 143 0 0 03 Jan 2025
Automated Measurement of Vascular Calcification in Femoral Endarterectomy Patients Using Deep Learning Alireza Bagheri Rajeoni Breanna Pederson Daniel G. Clair S. Lessner H. Valafar 21 6 0 27 Nov 2023
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 27 34 0 18 Nov 2022
Boundary-aware Transformers for Skin Lesion Segmentation Jiacheng Wang Lan Wei Liansheng Wang Qichao Zhou Lei Zhu Jing Qin ViT MedIm 80 129 0 08 Oct 2021
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation Yao Chang Menghan Hu Zhai Guangtao Xiao-Ping Zhang MedIm ViT 76 96 0 12 Jul 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 206 891 0 16 Feb 2021