Overfitting of neural nets under class imbalance: Analysis and
improvements for segmentation

Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation

25 July 2019

Konstantinos Kamnitsas

Papers citing "Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation"

12 / 12 papers shown

Title
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification S. SreeRamaVamsidhar Bhargava Satya Rama Krishna Sai Subrahmanyam Gorthi 25 1 0 06 Jul 2024
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 30 6 0 16 Dec 2022
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis Chuhan Xu Pablo Coen-Pirani Xia Jiang AI4CE 21 1 0 03 Aug 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier Seongmin Lee Zijie J. Wang Judy Hoffman Duen Horng Chau 34 11 0 12 Apr 2022
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chen Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 35 396 0 08 Feb 2021
Annotation-efficient deep learning for automatic medical image segmentation Shanshan Wang Cheng Li Rongpin Wang Zaiyi Liu Meiyun Wang ... Xin Liu Jie Chen Hui-Chong Zhou Ismail Ben Ayed Hairong Zheng VLM MedIm 39 177 0 09 Dec 2020
Distribution-aware Margin Calibration for Medical Image Segmentation Zhibin Li Litao Yu Jian Zhang 19 1 0 03 Nov 2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation B. Shirokikh A. Shevtsov Anvar Kurmukov A. Dalechina Egor Krivov V. Kostjuchenko A. Golanov Mikhail Belyaev 22 20 0 20 Jul 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 38 752 0 27 Aug 2019