A review of recent advances in deep learning models for chest disease detection using radiography
A Ait Nasser, MA Akhloufi - Diagnostics, 2023 - mdpi.com
Chest X-ray radiography (CXR) is among the most frequently used medical imaging
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …
Application of generative adversarial networks in image, face reconstruction and medical imaging: challenges and the current progress
S Sabnam, S Rajagopal - Computer Methods in Biomechanics and …, 2024 - Taylor & Francis
ABSTRACT In deep learning, GANs (Generative Adversarial Networks) are one of the
prominent study areas due to their ability to generate synthetic data thereby solving the …
prominent study areas due to their ability to generate synthetic data thereby solving the …
Adaptive Input-image Normalization for Solving Mode Collapse Problem in GAN-based X-ray Images
Biomedical image datasets can be imbalanced due to the rarity of targeted diseases.
Generative Adversarial Networks play a key role in addressing this imbalance by enabling …
Generative Adversarial Networks play a key role in addressing this imbalance by enabling …
Hybrid Deep Convolutional Generative Adversarial Network (DCGAN) and Xtreme Gradient Boost for X-ray Image Augmentation and Detection
The COVID-19 pandemic has exerted a widespread influence on a global scale, leading
numerous nations to prepare for the endemicity of COVID-19. The polymerase chain …
numerous nations to prepare for the endemicity of COVID-19. The polymerase chain …
An efficient federated learning method based on enhanced classification-GAN for medical image classification
W Liu, Y Zheng, Z **ang, Y Wang, Z Tian, W She - Multimedia Systems, 2025 - Springer
The scarcity of medical images significantly hampers the advancement of artificial
intelligence techniques in the medical field. Medical images face the issue of inferior training …
intelligence techniques in the medical field. Medical images face the issue of inferior training …
Generating Synthetic Medical Images with 3D GANs
H Guttulsrud - 2023 - oda.oslomet.no
This thesis presents a novel approach to overcoming the challenges associated with the
scarcity of annotated medical image data, a significant hurdle in cancer detection. We …
scarcity of annotated medical image data, a significant hurdle in cancer detection. We …
Disease-Aware Chest X-Ray Style GAN Image Generation and CatBoost Gradient Boosted Trees.
ABF Mansur - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Artificial Intelligence has significantly advanced and is proficient in image classification.
Even though the COVID-19 pandemic has ended, the virus is now considered to have …
Even though the COVID-19 pandemic has ended, the virus is now considered to have …
Analysis of machine learning algorithms for COVID detection using deep learning
J Kanjalkar, P Kanjalkar, K Aole, A Ansari… - … Conference on Data …, 2023 - Springer
The COVID-19 worldwide epidemic has disrupted our lives in countless ways. An ongoing
pandemic, COVID-19 (coronavirus) is brought on by coronavirus 2 (severe acute respiratory …
pandemic, COVID-19 (coronavirus) is brought on by coronavirus 2 (severe acute respiratory …
Dual-WGAN Ensemble Model for Alzheimer's Dataset Augmentation with Minority Class Boosting
Deep learning models have become very efficient and robust for several computer vision
applications. However, to harness the benefits of state-of-art deep networks in the realm of …
applications. However, to harness the benefits of state-of-art deep networks in the realm of …
Design and implementation of autonomous underwater vehicles' software stack
The autonomous underwater vehicle (AUV) is the subject of extensive research to operate
more effectively in unsound environments. In the industry, autonomous underwater vehicles …
more effectively in unsound environments. In the industry, autonomous underwater vehicles …