Titlebook: Explainable Machine Learning for Multimedia Based Healthcare Applications; M. Shamim Hossain,Utku Kose,Deepak Gupta Book 2023 The Editor(s

上腭

Explainable Machine Learning (XML) for Multimedia-Based Healthcare Systems: Opportunities, Challengowever, this scenario also presents some significant problems. Interpretability and explainability of such models is one of the like issues, particularly for sophisticated nonlinear models. If these issues are not resolved in the healthcare system, adoption chances may be severely hampered, in actua

變化無常

Ensemble Deep Learning Architectures in Bone Cancer Detection Based on Medical Diagnosis in Explained using ensemble of optimized kernel fuzzy C means multilayer deep transfer convolutional learning (OpKFuzCMM-DTCL). The presented technique’s performance was assessed using a benchmark image Bone tumour dataset as well as Bone MRI images. When compared to current strategies in the literature, our

expound

Digital Dermatitis Disease Classification Utilizing Visual Feature Extraction and Various Machine Llearning methodologies..After the study’s results are analysed in detail with tables and figures, it is concluded that the artificial intelligence models created can be used in the classification of DD case photographs with a cumulative accuracy value more than 0.95. This conclusion was reached foll

acquisition

跳動(dòng)

Application of Interpretable Artificial Intelligence Enabled Cognitive Internet of Things for COVIDxpose symptoms for COVID-19 diagnosis and forecasting and integrated comprehension of huge AI and ML continue to be challenges. As a result, the development and use of the Explainable Artificial Intelligence (XAI) concept provides a solution in these responses, where rule-based approaches are ideall

BIAS

陳腐思想

Book 2023 as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing..

CANON

Book 2023 the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelli

chapel

emarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing..978-3-031-38038-9978-3-031-38036-5

interlude

An Introduction to the Handbook,lustrate how to leverage the WBCD dataset to build explainable machine learning to make an untrustworthy prediction trustworthy. The book chapter includes a case study that will be very useful to get more exposure to the same and helpful for the researchers working in the same field.