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Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver.

, , , , , , , , , and . CICARE, page 25-31. IEEE, (2014)

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A Consensus Novelty Detection Ensemble Approach for Anomaly Detection in Activities of Daily Living., , and . Appl. Soft Comput., (2019)Towards a data-driven adaptive anomaly detection system for human activity., , and . Pattern Recognit. Lett., (2021)A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data., , , , , , , and . IEEE Access, (2023)iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings., , , , , , , , , and 5 other author(s). IEEE Access, (2021)iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network., , , , and . Secur. Commun. Networks, (2022)Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges., , and . Int. J. Ambient Comput. Intell., 12 (2): 111-139 (2021)Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases., , , and . AII, page 384-400. (2021)A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images., , , , , , and . AII, page 277-292. (2022)Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends., , , , , , , , and . AII, page 43-59. (2021)Classification of First Trimester Ultrasound Images Using Deep Convolutional Neural Network., , and . AII, page 92-105. (2021)