Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
[HTML][HTML] A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges
B Chen, L Cao, C Chen, Y Chen, Y Yue - Artificial Intelligence Review, 2024 - Springer
The application of optimization theory and the algorithms that are generated from it has
increased along with science and technology's continued advancement. Numerous issues …
increased along with science and technology's continued advancement. Numerous issues …
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment
This paper presents an alternative early disease detection technique based on the Internet
of Medical Things (IoMT) to improve the healthcare system. Since it is necessary to address …
of Medical Things (IoMT) to improve the healthcare system. Since it is necessary to address …
Tuberculosis detection bars on VGG19 transfer learning and Zebra Optimization Algorithm
T Le, F Shi, M Ge, R Dong… - EAI Endorsed Transactions …, 2024 - publications.eai.eu
Tuberculosis (TB) remains a significant global health challenge, necessitating accurate and
efficient diagnostic tools. This study introduces a novel approach combining VGG19, a deep …
efficient diagnostic tools. This study introduces a novel approach combining VGG19, a deep …
Machine Learning Approach To Predict Multiple Diseases Based On Symptoms
MK Raj, JP Malardhas… - 2024 10th International …, 2024 - ieeexplore.ieee.org
Healthcare is being altered by machine learning for early sickness prediction and diagnosis.
Based on patient symptoms, Random Forest, an ensemble machine learning algorithm, will …
Based on patient symptoms, Random Forest, an ensemble machine learning algorithm, will …
Developing a new modified Algorithms for Digital Image Sampling and Quantization in Serial and Parallel Image Processing
J Jayashankari, V Shalini, M Pandey… - … on Paradigm Shift in …, 2023 - ieeexplore.ieee.org
The improvement of a new changed algorithms for virtual photograph sampling and
quantization in serial and parallel image processing is proposed. The set of rules improves …
quantization in serial and parallel image processing is proposed. The set of rules improves …