Related Experiment Video

Updated: Jun 16, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

Correction: Comparative evaluation of deep learning models for lung segmentation in chest X-rays: applications in

Arun Kumar Dubey¹, Achin Jain¹, Shakir Khan²

¹Department of Information Technology, Bharati Vidyapeeth's College of Engineering, New Delhi, India.

BMC Infectious Diseases

|June 13, 2026

Abstract

No abstract available in PubMed .

Related Concept Videos

Articles linked to this work by shared authors, journal, and citation graph.

A low-cost handheld device for monitoring cutaneous photosensitivity.

Photochemistry and photobiology·2026

AE-HGNN: attention-enhanced hypergraph neural networks for interpretable stress prediction through higher-order dependency modeling.

Frontiers in artificial intelligence·2026

COVLIAS 3.5: integration of attention-based segmentation technique with fuzzy dilated convolutional neural networks for improved classification of chest X-ray scans for multiclass pneumonia diagnosis.

Scientific reports·2026

Adaptive test-time augmentation via KL-regularized reinforcement learning for robust visual inference.

Scientific reports·2026

CCEO-DCABNet: Chronological Chaotic Evolution Optimization-Enabled Hybrid Deep Learning for Multiclass Disease Classification Using Chest X-Ray Images in Federated Learning.

Diagnostics (Basel, Switzerland)·2026

Towards employee-centric HR: Understanding the link between opportunity-enhancing HR practices and employee taking charge at work.

Work (Reading, Mass.)·2026

See all related articles