[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …
experiences of individuals across the planet. It is a highly contagious respiratory disease …
Artificial intelligence and machine learning responses to COVID-19 related inquiries
N Zaeri - Journal of Medical Engineering & Technology, 2023 - Taylor & Francis
Researchers and scientists can use computational-based models to turn linked data into
useful information, aiding in disease diagnosis, examination, and viral containment due to …
useful information, aiding in disease diagnosis, examination, and viral containment due to …
[HTML][HTML] Deep learning models for CT image classification: a comprehensive literature review
Background and Objective Computed tomography (CT) imaging plays a crucial role in the
early detection and diagnosis of life-threatening diseases, particularly in respiratory …
early detection and diagnosis of life-threatening diseases, particularly in respiratory …
A CNN transfer learning-based automated diagnosis of COVID-19 from lung computerized tomography scan slices
Lung abnormality is becoming the most widespread illness in individuals of the entire age
group. This ailment can occur because of several causes. Recently, the novel disease …
group. This ailment can occur because of several causes. Recently, the novel disease …
Introducing extended algorithm for respiratory tumor segmentation
A Khorshidi - Multimedia Tools and Applications, 2024 - Springer
The spread of lung tumors and their changes occur dynamically, so precise segmentation of
the images obtained is necessary. In this study, an extended region growth algorithm was …
the images obtained is necessary. In this study, an extended region growth algorithm was …
Machine learning and deep learning covid-19 diagnosis system: key achievements, lessons learned, and a transfer learning algorithm
GM Salama, A Mohamed, MK Abd-Ellah - Soft Computing, 2024 - Springer
The COVID-19 pandemic is a novel, fast-spreading, deadly virus. It has spread around the
world in an extremely short time. Due to its rapid spread and negative effects on all aspects …
world in an extremely short time. Due to its rapid spread and negative effects on all aspects …
An Efficient Breast Cancer Segmentation System based on Deep Learning Techniques
SM Shaaban, M Nawaz, Y Said, M Barr - Engineering, Technology & …, 2023 - etasr.com
Breast cancer is one of the major threats that attack women around the world. Its detection
and diagnosis in the early stages can greatly improve care efficiency and reduce mortality …
and diagnosis in the early stages can greatly improve care efficiency and reduce mortality …
MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images
Computed tomography (CT) based lung screening followed by computer-vision-based
automated segmentation has great potential in early diagnosis of COVID-19, but low sample …
automated segmentation has great potential in early diagnosis of COVID-19, but low sample …
Accurate detection of coronavirus cases using deep learning with attention mechanism and genetic algorithm
A Kara - Multimedia Tools and Applications, 2024 - Springer
The novel coronavirus disease has caused severe threats to the daily life and health of
people all over the world. Hence, early detection and timely treatment of this disease are …
people all over the world. Hence, early detection and timely treatment of this disease are …
Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50
R Saranya, R Jaichandran - Biomedical Signal Processing and Control, 2024 - Elsevier
This manuscript presents the Quantum-inspired Complex Convolutional Neural Networks
(QICCNN) method for COVID-19 diagnosis using lung CT scan images. The QICCNN …
(QICCNN) method for COVID-19 diagnosis using lung CT scan images. The QICCNN …