Deep learning in different ultrasound methods for breast cancer, from diagnosis to prognosis: current trends, challenges, and an analysis
Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …
Ultrasound is a harmless imaging modality used to help make decisions about who should …
Secure Healthcare Model Using Multi-Step Deep Q Learning Network in Internet of Things
Internet of Things (IoT) is an emerging networking technology that connects both living and
non-living objects globally. In an era where IoT is increasingly integrated into various …
non-living objects globally. In an era where IoT is increasingly integrated into various …
Multi-objective optimal trajectory planning for manipulators based on CMOSPBO
T Bao, Z Wu, J Chen - Autonomous Intelligent Systems, 2024 - Springer
Feasible, smooth, and time-jerk optimal trajectory is essential for manipulators utilized in
manufacturing process. A novel technique to generate trajectories in the joint space for …
manufacturing process. A novel technique to generate trajectories in the joint space for …
'Earlier than Early' Detection of Breast Cancer in Israeli BRCA Mutation Carriers Applying AI-Based Analysis to Consecutive MRI Scans
Simple Summary Women who have a genetic mutation of BRCA1 or BRCA2 are at a
significantly higher risk for developing breast cancer. Early detection is crucial for an …
significantly higher risk for developing breast cancer. Early detection is crucial for an …
Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images
Coronavirus disease 2019 (COVID-19) has seen a crucial outburst for both females and
males worldwide. Automatic lung infection detection from medical imaging modalities …
males worldwide. Automatic lung infection detection from medical imaging modalities …
Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules
MB Gulame, VV Dixit - International Journal for Numerical …, 2024 - Wiley Online Library
Thyroid nodules are commonly diagnosed with ultrasonography, which includes internal
characteristics, varying looks, and hazy boundaries, making it challenging for a clinician to …
characteristics, varying looks, and hazy boundaries, making it challenging for a clinician to …
IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification
Breast cancer classification plays a crucial role in healthcare, especially in the diagnosis
and monitoring of patients. Traditional methods for classifying breast cancer based on …
and monitoring of patients. Traditional methods for classifying breast cancer based on …
Design of NBW-MHO with BERT model for prediction of Breast Cancer in IoT Healthcare System
R Ghatkamble, PK Pareek… - … Emerging Research in …, 2022 - ieeexplore.ieee.org
The key to successful early recovery and treatment of breast cancer in today's healthcare
system is an accurate and prompt diagnosis. Over the last several years, the IoT has …
system is an accurate and prompt diagnosis. Over the last several years, the IoT has …
Combined optimization strategy: CUBW for load balancing in software defined network
Software Defined Network (SDN) facilitates a centralized control management of devices in
network, which solves many issues in the old network. However, as the modern era …
network, which solves many issues in the old network. However, as the modern era …
[PDF][PDF] Deep Learning-Driven Workload Prediction and Optimization for Load Balancing in Cloud Computing Environment
S Karimunnisa, Y Pachipala - Cybernetics and Information …, 2024 - sciendo.com
Cloud computing revolutionizes as a technology that succeeds in serving large-scale user
demands. Workload prediction and scheduling tend to be factors dictating cloud …
demands. Workload prediction and scheduling tend to be factors dictating cloud …