Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
Fuente:
arXiv
Saved in:
| Main Authors: | Pramana, A. A. G. Yogi, Permana, Faiz Ihza, Maulana, Muhammad Fazil, Fudholi, Dzikri Rahadian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
by: Capellán-Martín, Daniel, et al.
Published: (2024)
by: Capellán-Martín, Daniel, et al.
Published: (2024)
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)
by: Ayman, Ahmed
Published: (2023)
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
by: Ahishali, Mete, et al.
Published: (2020)
by: Ahishali, Mete, et al.
Published: (2020)
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
by: Lei, Yiming, et al.
Published: (2025)
by: Lei, Yiming, et al.
Published: (2025)
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
by: Galán-Cuenca, Alejandro, et al.
Published: (2024)
by: Galán-Cuenca, Alejandro, et al.
Published: (2024)
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
by: Verma, Ashish, et al.
Published: (2025)
by: Verma, Ashish, et al.
Published: (2025)
Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
by: Huang, Lili, et al.
Published: (2024)
by: Huang, Lili, et al.
Published: (2024)
Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
by: Hazlett, Alanna, et al.
Published: (2025)
by: Hazlett, Alanna, et al.
Published: (2025)
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
by: Khater, Omar Hesham, et al.
Published: (2024)
by: Khater, Omar Hesham, et al.
Published: (2024)
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
by: Crespi, Leonardo, et al.
Published: (2021)
by: Crespi, Leonardo, et al.
Published: (2021)
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
by: Prakash, Eva, et al.
Published: (2024)
by: Prakash, Eva, et al.
Published: (2024)
Clinically-aligned Multi-modal Chest X-ray Classification
by: Sloan, Phillip, et al.
Published: (2025)
by: Sloan, Phillip, et al.
Published: (2025)
Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification
by: Sulake, Nikhileswara Rao
Published: (2026)
by: Sulake, Nikhileswara Rao
Published: (2026)
Advanced Chest X-Ray Analysis via Transformer-Based Image Descriptors and Cross-Model Attention Mechanism
by: Agarwal, Lakshita, et al.
Published: (2025)
by: Agarwal, Lakshita, et al.
Published: (2025)
Motion Classification Based on Harmonic Micro-Doppler Signatures Using a Convolutional Neural Network
by: Hilton, Cory, et al.
Published: (2023)
by: Hilton, Cory, et al.
Published: (2023)
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
by: Ifty, Tanzina Taher, et al.
Published: (2024)
by: Ifty, Tanzina Taher, et al.
Published: (2024)
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images
by: Degerli, Aysen, et al.
Published: (2020)
by: Degerli, Aysen, et al.
Published: (2020)
CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
by: Dey, Utsho Kumar
Published: (2026)
by: Dey, Utsho Kumar
Published: (2026)
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
by: S, Sree Rama Vamsidhar, et al.
Published: (2024)
by: S, Sree Rama Vamsidhar, et al.
Published: (2024)
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)
by: Agarwal, Saurabh, et al.
Published: (2024)
Diverse Instance Generation via Diffusion Models for Enhanced Few-Shot Object Detection in Remote Sensing Images
by: Liu, Yanxing, et al.
Published: (2025)
by: Liu, Yanxing, et al.
Published: (2025)
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
by: Lara, Luis, et al.
Published: (2025)
by: Lara, Luis, et al.
Published: (2025)
SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
by: Abolade, Ilerioluwakiiye, et al.
Published: (2025)
by: Abolade, Ilerioluwakiiye, et al.
Published: (2025)
SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays
by: Hu, Yuanyun, et al.
Published: (2026)
by: Hu, Yuanyun, et al.
Published: (2026)
Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detection
by: Liu, Yanxing, et al.
Published: (2025)
by: Liu, Yanxing, et al.
Published: (2025)
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images
by: Chen, Zhanghao, et al.
Published: (2023)
by: Chen, Zhanghao, et al.
Published: (2023)
Automatic Detection and Classification of Corona Infection (COVID-19) from X-ray Images Using Convolution Neural Network
by: Patel, Kinjal A, et al.
Published: (2024)
by: Patel, Kinjal A, et al.
Published: (2024)
MOZART: Ensembling Approach for COVID-19 Detection using Chest X-Ray Imagery
by: Shabo, Mohammed, et al.
Published: (2024)
by: Shabo, Mohammed, et al.
Published: (2024)
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)
by: Miah, Md. Asiful Islam, et al.
Published: (2024)
Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers
by: Pal, Basudha, et al.
Published: (2025)
by: Pal, Basudha, et al.
Published: (2025)
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models
by: Sun, Yifei, et al.
Published: (2024)
by: Sun, Yifei, 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)
by: Nettur, Suresh Babu, et al.
Published: (2025)
Anatomic Feature Fusion Model for Diagnosing Calcified Pulmonary Nodules on Chest X-Ray
by: Choi, Hyeonjin, et al.
Published: (2025)
by: Choi, Hyeonjin, 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)
by: Nasiri, Hamid, et al.
Published: (2022)
DiCoM -- Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies
by: Parida, Abhijeet, et al.
Published: (2024)
by: Parida, Abhijeet, et al.
Published: (2024)
GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
by: Sun, Yifei, et al.
Published: (2025)
by: Sun, Yifei, et al.
Published: (2025)
Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
by: Muharram, Arief Purnama, et al.
Published: (2023)
by: Muharram, Arief Purnama, et al.
Published: (2023)
Exploring Foundation Models for Synthetic Medical Imaging: A Study on Chest X-Rays and Fine-Tuning Techniques
by: da Silva, Davide Clode, et al.
Published: (2024)
by: da Silva, Davide Clode, et al.
Published: (2024)
Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
by: Sai, Chinthakuntla Meghan, et al.
Published: (2026)
by: Sai, Chinthakuntla Meghan, et al.
Published: (2026)
From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification
by: Kulkarni, Pranav, et al.
Published: (2023)
by: Kulkarni, Pranav, et al.
Published: (2023)
Similar Items
-
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
by: Capellán-Martín, Daniel, et al.
Published: (2024) -
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023) -
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
by: Ahishali, Mete, et al.
Published: (2020) -
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
by: Lei, Yiming, et al.
Published: (2025) -
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
by: Galán-Cuenca, Alejandro, et al.
Published: (2024)