Cover Image

Deep Learning-Based Pneumonia Detection from Chest X-ray Images: A CNN Approach with Performance Analysis and Clinical Implications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dutta, P K, Chowdhury, Anushri, Bhattacharyya, Anouska, Chakraborty, Shakya, Dey, Sujatra
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
by: Fahad, Nafiz, et al.
Published: (2024)

Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays
by: Ridwan, Rayyan
Published: (2025)

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
by: Das, Alloy, et al.
Published: (2024)

Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images
by: Chen, Shengchao, et al.
Published: (2022)

Reliable COVID-19 Detection Using Chest X-ray Images
by: Degerli, Aysen, et al.
Published: (2021)

Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays
by: Singh, Gaurav
Published: (2025)

Clinically-aligned Multi-modal Chest X-ray Classification
by: Sloan, Phillip, et al.
Published: (2025)

Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
by: Huang, Lili, et al.
Published: (2024)

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images
by: Nettur, Suresh Babu, et al.
Published: (2025)

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
by: Degerli, Aysen, et al.
Published: (2022)

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity
by: Zunaed, Mohammad, et al.
Published: (2024)

A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia
by: Porag, Al Mohidur Rahman, et al.
Published: (2022)

FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
by: Roy, Ayush, et al.
Published: (2024)

Deep Learning CNN for Pneumonia Detection: Advancing Digital Health in Society 5.0
by: Almohab, Hadi
Published: (2026)

Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis
by: Awasthi, Akash, et al.
Published: (2024)

SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays
by: Hu, Yuanyun, et al.
Published: (2026)

Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
by: Roy, Santanu, et al.
Published: (2025)

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
by: Nasiri, Hamid, et al.
Published: (2022)

Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
by: Lara, Luis, et al.
Published: (2025)

Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks
by: Arizmendi, Carlos, et al.
Published: (2025)

Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture
by: Singh, Sonit
Published: (2024)

Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
by: Sarker, Shuvashis, et al.
Published: (2025)

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
by: Chatterjee, Soumick, et al.
Published: (2020)

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images
by: Degerli, Aysen, et al.
Published: (2020)

AutoEncoder Convolutional Neural Network for Pneumonia Detection
by: Nosa-Omoruyi, Michael, et al.
Published: (2024)

CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining
by: Basnet, Prashant Singh, et al.
Published: (2025)

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
by: Ahishali, Mete, et al.
Published: (2020)

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
by: Hazlett, Alanna, et al.
Published: (2025)

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
by: Yang, Zefan, et al.
Published: (2024)

Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
by: de Carvalho, Gabriel Bellon, et al.
Published: (2024)

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
by: Dey, Utsho Kumar
Published: (2026)

Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
by: Hui, Long
Published: (2025)

AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)
by: Manaf, Abdul, et al.
Published: (2025)

Diagnostic Uncertainty in Pneumonia Detection using CNN MobileNetV2 and CNN from Scratch
by: Sudiardjo, Kennard Norbert, et al.
Published: (2025)

Pneumonia Diagnosis through pixels -- A Deep Learning Model for detection and classification
by: Gurpur, Amit Karanth, et al.
Published: (2024)

Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
by: Pramana, A. A. G. Yogi, et al.
Published: (2024)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
by: Prakash, Eva, et al.
Published: (2024)

Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Artificial Intelligence-Driven Prognostic Classification of COVID-19 Using Chest X-rays: A Deep Learning Approach
by: Simbun, Alfred, et al.
Published: (2025)