4.7 Article

A Weakly supervised approach for thoracic diseases detection

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks

Anam Zaman et al.

Summary: This paper introduces a neural network for continual learning in image keypoint association and 3D reconstruction. By enhancing the expressiveness of local features and utilizing previously learned knowledge, accurate point matching among sequential images is achieved, resulting in higher results for pose estimation in various scenes.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Article Computer Science, Artificial Intelligence

Brain inspired lifelong learning model based on neural based learning classifier for underwater data classification

Muhammad Irfan et al.

Summary: The study proposed a lifelong learning model that extracts and reuses knowledge to solve current problems, and experimental results show its superior performance in terms of classification accuracy compared to other methods.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Interdisciplinary Applications

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

Xi Ouyang et al.

Summary: This work addresses the problem of abnormality localization in clinical applications using a new attention-driven weakly supervised algorithm that combines activation- and gradient-based visual attention in a holistic manner. Key algorithmic innovations include explicit ordinal attention constraints for model training in a weakly-supervised fashion and the generation of visual-attention-driven model explanations through localization cues. The proposed method demonstrates significant improvements in localization performance on two large-scale chest X-ray datasets while maintaining competitive classification performance.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)

Article Computer Science, Artificial Intelligence

Multi-label chest X-ray image classification via category-wise residual attention learning

Qingji Guan et al.

PATTERN RECOGNITION LETTERS (2020)

Article Computer Science, Artificial Intelligence

Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method

Mesut Togacar et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Information Systems

Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification

Bingzhi Chen et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)

Article Engineering, Biomedical

A hybrid feature extraction approach for brain MRI classification based on Bag-of-words

Wadhah Ayadi et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)

Article Computer Science, Artificial Intelligence

A novel deep learning based framework for the detection and classification of breast cancer using transfer learning

SanaUllah Khan et al.

PATTERN RECOGNITION LETTERS (2019)

Article Computer Science, Artificial Intelligence

Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

Najmeh Abiri et al.

NEUROCOMPUTING (2019)

Article Multidisciplinary Sciences

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

Ivo M. Baltruschat et al.

SCIENTIFIC REPORTS (2019)

Article Engineering, Biomedical

DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays

Bingzhi Chen et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)

Article Computer Science, Information Systems

A Novel Approach for Multi-Label Chest X-Ray Classification of Common Thorax Diseases

Imane Allaouzi et al.

IEEE ACCESS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Align, Attend and Locate: Chest X-ray Diagnosis via Contrast Induced Attention Network with Limited Supervision

Jingyu Liu et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

Article Computer Science, Artificial Intelligence

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Kai Zhang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)