Copertina

InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Miah, Md. Asiful Islam, Paul, Shourin, Das, Sunanda, Hashem, M. M. A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
di: Saky, S M Asiful Islam, et al.
Pubblicazione: (2025)

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
di: Lei, Yiming, et al.
Pubblicazione: (2025)

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
di: Ifty, Tanzina Taher, et al.
Pubblicazione: (2024)

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
di: Tushar, Fakrul Islam
Pubblicazione: (2024)

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

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

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
di: Gabriel, Roy M., et al.
Pubblicazione: (2025)

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

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

MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
di: Agarwal, Saurabh, et al.
Pubblicazione: (2024)

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

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

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

A Disease Labeler for Chinese Chest X-Ray Report Generation
di: Wang, Mengwei, et al.
Pubblicazione: (2024)

Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
di: Zami, Abduz, et al.
Pubblicazione: (2025)

AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
di: Khater, Omar Hesham, et al.
Pubblicazione: (2024)

Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
di: Verma, Ashish, et al.
Pubblicazione: (2025)

Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
di: S, Sree Rama Vamsidhar, et al.
Pubblicazione: (2024)

A Deep Look Into -- Automated Lung X-Ray Abnormality Detection System
di: KS, Nagullas, et al.
Pubblicazione: (2024)

SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
di: Abolade, Ilerioluwakiiye, et al.
Pubblicazione: (2025)

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

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

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
di: Capellán-Martín, Daniel, et al.
Pubblicazione: (2024)

Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
di: Muharram, Arief Purnama, et al.
Pubblicazione: (2023)

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

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2
di: Hossain, Md. Zahid, et al.
Pubblicazione: (2025)

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
di: Sun, Yifei, et al.
Pubblicazione: (2025)

Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal
di: Islam, Md Jahidul
Pubblicazione: (2025)

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

Anatomic Feature Fusion Model for Diagnosing Calcified Pulmonary Nodules on Chest X-Ray
di: Choi, Hyeonjin, et al.
Pubblicazione: (2025)

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

CapsuleNet: A Deep Learning Model To Classify GI Diseases Using EfficientNet-b7
di: Das, Aniket, et al.
Pubblicazione: (2024)

DiCoM -- Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies
di: Parida, Abhijeet, et al.
Pubblicazione: (2024)

Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification
di: Sulake, Nikhileswara Rao
Pubblicazione: (2026)

Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
di: Strick, Daniel J., et al.
Pubblicazione: (2025)

Chest X-ray Foundation Model with Global and Local Representations Integration
di: Yang, Zefan, et al.
Pubblicazione: (2025)

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

Cervical Cancer Detection Using Multi-Branch Deep Learning Model
di: Baba, Tatsuhiro, et al.
Pubblicazione: (2024)

Advanced Chest X-Ray Analysis via Transformer-Based Image Descriptors and Cross-Model Attention Mechanism
di: Agarwal, Lakshita, et al.
Pubblicazione: (2025)

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images
di: Chen, Zhanghao, et al.
Pubblicazione: (2023)