DeepAI
Log In Sign Up

Weakly-Supervised Localization and Classification of Proximal Femur Fractures

09/27/2018
by   Amelia Jiménez-Sánchez, et al.
0

In this paper, we target the problem of fracture classification from clinical X-Ray images towards an automated Computer Aided Diagnosis (CAD) system. Although primarily dealing with an image classification problem, we argue that localizing the fracture in the image is crucial to make good class predictions. Therefore, we propose and thoroughly analyze several schemes for simultaneous fracture localization and classification. We show that using an auxiliary localization task, in general, improves the classification performance. Moreover, it is possible to avoid the need for additional localization annotations thanks to recent advancements in weakly-supervised deep learning approaches. Among such approaches, we investigate and adapt Spatial Transformers (ST), Self-Transfer Learning (STL), and localization from global pooling layers. We provide a detailed quantitative and qualitative validation on a dataset of 1347 femur fractures images and report high accuracy with regard to inter-expert correlation values reported in the literature. Our investigations show that i) lesion localization improves the classification outcome, ii) weakly-supervised methods improve baseline classification without any additional cost, iii) STL guides feature activations and boost performance. We plan to make both the dataset and code available.

READ FULL TEXT

page 1

page 6

02/04/2016

Self-Transfer Learning for Fully Weakly Supervised Object Localization

Recent advances of deep learning have achieved remarkable performances i...
04/29/2019

A dual branch deep neural network for classification and detection in mammograms

In this paper, we propose a novel deep learning architecture for joint c...
03/18/2020

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization

Weakly Supervised Object Localization (WSOL) methods have become increas...
12/23/2021

Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis

We consider the problem of abnormality localization for clinical applica...
08/03/2021

Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection

Modern deep learning models require large amounts of accurately annotate...
01/22/2021

Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning

Locating lesions is important in the computer-aided diagnosis of X-ray i...