[HTML][HTML] AI-Driven Thoracic X-ray Diagnostics: Transformative Transfer Learning for Clinical Validation in Pulmonary Radiography
Our research evaluates advanced artificial (AI) methodologies to enhance diagnostic
accuracy in pulmonary radiography. Utilizing DenseNet121 and ResNet50, we analyzed …
accuracy in pulmonary radiography. Utilizing DenseNet121 and ResNet50, we analyzed …
[HTML][HTML] Optimizing Lung Condition Categorization through a Deep Learning Approach to Chest X-ray Image Analysis
Background: Evaluating chest X-rays is a complex and high-demand task due to the intrinsic
challenges associated with diagnosing a wide range of pulmonary conditions. Therefore …
challenges associated with diagnosing a wide range of pulmonary conditions. Therefore …
DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features
Lung diseases are the third-leading cause of mortality in the world. Due to compromised
lung function, respiratory difficulties, and physiological complications, lung disease brought …
lung function, respiratory difficulties, and physiological complications, lung disease brought …
[HTML][HTML] Enhancing Pulmonary Diagnosis in Chest X-rays through Generative AI Techniques
Chest X-ray imaging is an essential tool in the diagnostic procedure for pulmonary
conditions, providing healthcare professionals with the capability to immediately and …
conditions, providing healthcare professionals with the capability to immediately and …
[HTML][HTML] TransSMPL: Efficient Human Pose Estimation with Pruned and Quantized Transformer Networks
Existing Transformers for 3D human pose and shape estimation models often struggle with
computational complexity, particularly when handling high-resolution feature maps. These …
computational complexity, particularly when handling high-resolution feature maps. These …
Enhancing pulmonary disease classification in diseases: A comparative study of CNN and optimized MobileNet architectures
ON Mohammed - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
[PDF][PDF] Detection and classification of pneumonia using the Orange3 data mining tool.
A chest X-ray can convey a lot about a patient's condition. However, it requires a specialized
and skilled doctor to determine the type of lung disease with high accuracy. Here comes the …
and skilled doctor to determine the type of lung disease with high accuracy. Here comes the …
Enhancing multi-class lung disease classification in chest x-ray images: A hybrid manta-ray foraging volcano eruption algorithm boosted multilayer perceptron neural …
One of the most used diagnostic imaging techniques for identifying a variety of lung and
bone-related conditions is the chest X-ray. Recent developments in deep learning have …
bone-related conditions is the chest X-ray. Recent developments in deep learning have …
Accelerating CNNs for Pneumonia Disease Diagnosis via Heterogeneous FPGA Systems
Early and accurate diagnosis of pneumonia is critical for effective treatment and improved
patient outcomes. This paper introduces a cutting-edge framework for accelerating the …
patient outcomes. This paper introduces a cutting-edge framework for accelerating the …
[PDF][PDF] Assessing the Robustness of Image Data Preprocessing and Augmentation in Machine Assisted Clinical Diagnosis of Pneumonia
ETA Albert, NME Leonard - 2024 - authorea.com
This study investigated the robustness and stability of three image data preprocessing
techniques (Geometric, Gaussian Noise and Random Color Space transformations) in …
techniques (Geometric, Gaussian Noise and Random Color Space transformations) in …