FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

3 November 2023

Papers citing "FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling"

7 / 7 papers shown

Title
FairCLIP: Harnessing Fairness in Vision-Language Learning Yan Luo Minfei Shi Muhammad Osama Khan Muhammad Muneeb Afzal Hao Huang ... Luo Song Ava Kouhana T. Elze Yi Fang Mengyu Wang VLM 47 32 0 29 Mar 2024
Inspecting Model Fairness in Ultrasound Segmentation Tasks Zikang Xu Fenghe Tang Quan Quan Jianrui Ding C. Ning S. Kevin Zhou 30 0 0 05 Dec 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization Yan Luo Yu Tian Minfei Shi Louis R. Pasquale Lucy Q. Shen Nazlee Zebardast T. Elze Mengyu Wang 39 18 0 15 Jun 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 106 288 0 26 Apr 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 81 59 0 04 Oct 2022
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 112 184 0 20 Apr 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018