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BMC Medical Imaging|May 21, 2024
Refining neural network algorithms for accurate brain tumor classification in MRI imageryAsma Alshuhail, Arastu Thakur, R Chandramma, et al.
Scientific Reports|November 20, 2024
Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clusteringFahad Razaque Mughal, Jingsha He, Bhagwan Das, et al.
Computational Intelligence and Neuroscience|May 31, 2022
Blockchain-Based Trust Management Framework for Cloud Computing-Based Internet of Medical Things (IoMT): A Systematic ReviewMohammad Khalid Imam Rahmani, Mohammed Shuaib, Shadab Alam, et al.
Frontiers in Oncology|July 5, 2022
Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning FrameworksKadiyala Ramana, Madapuri Rudra Kumar, K Sreenivasulu, et al.
Heliyon|May 6, 2024
Investigating attention mechanisms for plant disease identification in challenging environmentsSangeeta Duhan, Preeti Gulia, Nasib Singh Gill, et al.
Frontiers in Medicine|February 13, 2024
Oral squamous cell carcinoma detection using EfficientNet on histopathological imagesEid Albalawi, Arastu Thakur, Mahesh Thyluru Ramakrishna, et al.
Diagnostics (Basel, Switzerland)|November 24, 2023
A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell CarcinomaBharanidharan Nagarajan, Sannasi Chakravarthy, Vinoth Kumar Venkatesan, et al.
Diagnostics (Basel, Switzerland)|October 28, 2023
Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan ImagesP Kiran Rao, Subarna Chatterjee, M Janardhan, et al.
BMC Medical Imaging|May 10, 2024
Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative frameworkSyed Thouheed Ahmed, T R Mahesh, E Srividhya, et al.
SLAS Technology|December 26, 2024
Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretationNagalakshmi R, Surbhi Bhatia Khan, Ananthoju Vijay Kumar, et al.
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