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Medical image data augmentation: techniques, comparisons and interpretations
E Goceri - Artificial Intelligence Review, 2023 - Springer
Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
Detection of skin cancer based on skin lesion images using deep learning
An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
[HTML][HTML] Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Lung cancer (LC) remains a leading cause of death worldwide. Early diagnosis is critical to
protect innocent human lives. Computed tomography (CT) scans are one of the primary …
protect innocent human lives. Computed tomography (CT) scans are one of the primary …
Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
The role of machine learning and deep learning approaches for the detection of skin cancer
Machine learning (ML) can enhance a dermatologist's work, from diagnosis to customized
care. The development of ML algorithms in dermatology has been supported lately …
care. The development of ML algorithms in dermatology has been supported lately …
Multiround transfer learning and modified generative adversarial network for lung cancer detection
Lung cancer has been the leading cause of cancer death for many decades. With the advent
of artificial intelligence, various machine learning models have been proposed for lung …
of artificial intelligence, various machine learning models have been proposed for lung …
The power of deep learning for intelligent tumor classification systems: A review
A tumor is a life-threatening disease that refers to the abnormal growth of cells in any part of
the human body. Early detection of this abnormality not only helps with appropriate …
the human body. Early detection of this abnormality not only helps with appropriate …
[PDF][PDF] Comprehensive Review Analysis and Countermeasures for Cybersecurity Threats: DDoS, Ransomware, and Trojan Horse Attacks
N Ravichandran, T Tewaraja, V Rajasegaran… - Preprints. org, 2024 - preprints.org
With all the sophisticated threats to network security, intrusion detection is a section of the
security technology industry that is becoming increasingly significant. In this research paper …
security technology industry that is becoming increasingly significant. In this research paper …
Framework for improved sentiment analysis via random minority oversampling for user tweet review classification
Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …
knowledge base for people to share their unique ideas and perspectives on various topics …
MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
mortality rate, early detection and proper treatment should be ensured. Computer-aided …