Nov 1, 2021 · In this extended abstract, we will present and discuss opportunities and challenges brought about by a new deep learning method by AUC maximization (aka \underline {\bf D}eep \underline {\bf A}UC \underline {\bf M}aximization or {\bf DAM}) for medical image classification.

Sep 30, 2024 · In the past two decades, many AUC optimization methods have been proposed to improve model performance under long-tail distributions. In this paper, we explore AUC optimization methods in the context of pixel-level long-tail semantic segmentation, a much more complicated scenario.

Feb 7, 2025 · AUC (Area Under the Curve): AUC measures the area under the ROC curve. A higher AUC value indicates better model performance as it suggests a greater ability to distinguish between classes. An AUC value of 1.0 indicates perfect performance while 0.5 suggests it is random guessing. How AUC-ROC Works

Dec 6, 2020 · In this work, we aim to make DAM more practical for interesting real-world applications (e.g., medical image classification). First, we propose a new margin-based min-max surrogate loss function for the AUC score (named as AUC min-max-margin loss or simply AUC margin loss for short).

Medical Image Classi cation Tianbao Yang Department of Computer Science The University of Iowa Yang (CS@Uiowa) Deep AUC Maximization 1/46. Introduction Outline 1 Introduction 2 Novel Margin-based Surrogate Loss ... AUC-Surrogate(h) = E[‘(h(x) h(x0))jy = 1;y0= 1] Issues: High costs: B samples: O(B2)

Jun 30, 2021 · Deep learning techniques like image classification, segmentation, object detection are used very commonly. Choosing the right evaluation metrics is very crucial to decide which model to use, how to tune the hyperparameters, the …

In this work, we aim to make DAM more practical for interesting real-world applications (e.g., medical image classification). First, we propose a new margin-based min-max surrogate loss function for the AUC score (named as the AUC min-max …

Jun 20, 2022 · The tutorial will introduce recent successes of deep AUC maximization in medical image classification (e.g., 1st Place at CheXpert Competition) by presenting the methods, algorithms, and library that play important roles in such successes.

AUC maximization (aka Deep AUC Maximization or DAM) for medical image classification. Since AUC (aka area under ROC curve) is a standard performance measure for medical image clas-sification, hence directly optimizing AUC could achieve a better performance for learning a deep .

Feb 22, 2022 · My method uses a model that classifies an image as class A or B, after that if the image was classified as positive or as A, it goes to a segmentation model that makes a mask showing where class A is located in the image. I need to …