Deep Learning from Label Proportions for Emphysema Quantification

Deep Learning from Label Proportions for Emphysema Quantification

23 July 2018

Florian Dubost

Ioannis Katramados

Laurens Hogeweg

Marleen de Bruijne

Papers citing "Deep Learning from Label Proportions for Emphysema Quantification"

8 / 8 papers shown

Title
Nearly Optimal Sample Complexity for Learning with Label Proportions R. Busa-Fekete Travis Dick Claudio Gentile Haim Kaplan Tomer Koren Uri Stemmer 50 0 0 08 May 2025
Proportion Estimation by Masked Learning from Label Proportion Takumi Okuo Kazuya Nishimura Hiroaki Ito Kazuhiro Terada Akihiko Yoshizawa Ryoma Bise 26 2 0 08 May 2024
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Mathias Niepert SSL 55 6 0 22 Nov 2023
Learning from Label Proportions by Learning with Label Noise Jianxin Zhang Yutong Wang Clayton Scott NoLa 19 24 0 04 Mar 2022
Training image classifiers using Semi-Weak Label Data Anxiang Zhang Ankit Parag Shah Bhiksha Raj 23 2 0 19 Mar 2021
Learning from Label Proportions with Consistency Regularization Kuen-Han Tsai Hsuan-Tien Lin 21 44 0 29 Oct 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 15 50 0 30 May 2019
Learning to quantify emphysema extent: What labels do we need? S. Ørting Jens Petersen L. Thomsen M. Wille Marleen de Bruijne 14 2 0 17 Oct 2018