SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation

21 January 2020

Papers citing "SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation"

9 / 9 papers shown

Title
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators Yuan Cheng Zu-Yun Shiau Fu-En Yang Yu-Chiang Frank Wang 39 2 0 19 Feb 2023
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 15 301 0 01 Nov 2021
PL-Net: Progressive Learning Network for Medical Image Segmentation Junlong Cheng Chengrui Gao Chaoqing Wang Zhang Ming Yong-Liang Yang Min Zhu SSeg 24 1 0 27 Oct 2021
End-to-end lung nodule detection framework with model-based feature projection block I. Drokin Elena Ericheva 18 4 0 10 Jun 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 23 1,041 0 02 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 33 544 0 28 Sep 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 35 482 0 28 May 2020
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip H. S. Torr 67 437 0 06 Apr 2018