Analyzing Overfitting under Class Imbalance in Neural Networks for Image
Segmentation

Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation

20 February 2021

Konstantinos Kamnitsas

Papers citing "Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation"

8 / 8 papers shown

Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation Rayan Merghani Ahmed Adnan Iltaf Mohamed Elmanna Gang Zhao Hongliang Li Yue Du Bin Li Shoujun Zhou 128 0 0 07 Apr 2025
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images Yuki Kondo Norimichi Ukita SupR 24 8 0 24 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 29 6 0 07 Feb 2023
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas C. Ouyang Chen Chen Ben Glocker VLM 25 6 0 16 Dec 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 27 9 0 20 Jul 2022
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation Elias Tappeiner M. Welk R. Schubert SSeg AI4CE 19 15 0 05 Jan 2022
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 250 782 0 05 Dec 2019
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 286 10,613 0 19 Feb 2017