AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation

2 May 2021

Papers citing "AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation"

7 / 7 papers shown

Title
Polyp segmentation in colonoscopy images using DeepLabV3++ A. Muzahidul Islam Sadia Shakiba Bhuiyan Mysun Mashira Md. Rayhan Ahmed Salekul Islam Swakkhar Shatabda 40 2 0 27 Jul 2024
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images Md. Rayhan Ahmed Adnan Ferdous Ashrafi R. Ahmed Swakkhar Shatabda A. Muzahidul Islam Salekul Islam SSeg 26 20 0 25 Nov 2022
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation N. Duc Nguyen Thi Oanh N. T. Thuy Trần Minh Triết V. Dinh ViT MedIm 133 114 0 17 May 2022
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? Tiago Gonçalves Isabel Rio-Torto Luís F. Teixeira J. S. Cardoso OOD MedIm 13 36 0 26 Apr 2022
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers B. Dong Wenhai Wang Deng-Ping Fan Jinpeng Li H. Fu Ling Shao ViT MedIm 19 308 0 16 Aug 2021
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images N. Zettler André Mastmeyer SSeg 20 21 0 08 Jul 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016