AUNet: Attention-guided dense-upsampling networks for breast mass
segmentation in whole mammograms

AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

24 October 2018

Cheng Li

David Dagan Feng

Papers citing "AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms"

5 / 5 papers shown

Title
Dynamic Snake Upsampling Operater and Boundary-Skeleton Weighted Loss for Tubular Structure Segmentation Yiqi Chen Ganghai Huang Sheng Zhang Jianglin Dai 36 0 0 13 May 2025
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation Xin Yue Xiaoling Liu Qing Zhao Jianqiang Li Changwei Song Suqin Liu Zhikai Yang Guanghui Fu MedIm 26 2 0 18 Nov 2023
SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentation Sharif Amit Kamran Khondker Fariha Hossain Alireza Tavakkoli G. Bebis Salah A. Baker ViT 14 4 0 16 Nov 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,173 0 16 Sep 2016