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Advances in intelligent disease diag...
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Kacprzyk, Janusz.
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Advances in intelligent disease diagnosis and treatment = research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in intelligent disease diagnosis and treatment/ edited by Chee-Peng Lim ... [et al.].
其他題名:
research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /
其他作者:
Kacprzyk, Janusz.
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
x, 304 p. :ill. (some col.), digital ;24 cm.
內容註:
Recent advances in Artificial Intelligence in Healthcare -- Pancreatic Cancer Classification Using Multimodal Imaging -- Bayesian optimisation active learning semi supervised classification for an automatic microembolus detection system -- Images Processing and Visualization of Brain Tumors -- 3D Lung Tumor Segmentation System using Adaptive Structure Deep Belief Network -- Optimal deep transfer learning models for stenosis detection in X ray angiography images -- Forward Nonlinear Model for Deep Learning of EEG Auditory Attention Detection in Cocktail Party Problem. Computational Intelligence Based Modelling of Polyneuropathy Diagnosis -- Decentralized Diagnostics The Role of Federated Learning in Modern Medical Imaging -- Boundary Detection of Incomplete Shapes in Breast Thermal Images Using Statistical Shape Modeling -- Enhanced Liver Lesion Detection in Multi Phase CT Images using Unsupervised Domain Adaptation and Feature Generalization -- Decision Support System for Skin Lesion Diagnosis using Deep Learning.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Medical applications. -
電子資源:
https://doi.org/10.1007/978-3-031-65640-8
ISBN:
9783031656408
Advances in intelligent disease diagnosis and treatment = research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /
Advances in intelligent disease diagnosis and treatment
research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /[electronic resource] :edited by Chee-Peng Lim ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 304 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v. 2591868-4408 ;. - Intelligent systems reference library ;v. 259..
Recent advances in Artificial Intelligence in Healthcare -- Pancreatic Cancer Classification Using Multimodal Imaging -- Bayesian optimisation active learning semi supervised classification for an automatic microembolus detection system -- Images Processing and Visualization of Brain Tumors -- 3D Lung Tumor Segmentation System using Adaptive Structure Deep Belief Network -- Optimal deep transfer learning models for stenosis detection in X ray angiography images -- Forward Nonlinear Model for Deep Learning of EEG Auditory Attention Detection in Cocktail Party Problem. Computational Intelligence Based Modelling of Polyneuropathy Diagnosis -- Decentralized Diagnostics The Role of Federated Learning in Modern Medical Imaging -- Boundary Detection of Incomplete Shapes in Breast Thermal Images Using Statistical Shape Modeling -- Enhanced Liver Lesion Detection in Multi Phase CT Images using Unsupervised Domain Adaptation and Feature Generalization -- Decision Support System for Skin Lesion Diagnosis using Deep Learning.
The book delves into innovations in AI and related computing paradigms for disease detection and diagnosis. The collected chapters elucidate the use of a variety of AI and related methodologies to address specific medical challenges. From detecting pancreatic cancer, classifying micro-emboli in stroke diagnosis, to segmenting brain tumours from MRI data, and more, the culmination of these studies underscores the transformative impact AI and digital technologies can have on healthcare, emphasising their potential to enhance medical treatment and improve patient care.
ISBN: 9783031656408
Standard No.: 10.1007/978-3-031-65640-8doiSubjects--Topical Terms:
900591
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78
Dewey Class. No.: 610.285
Advances in intelligent disease diagnosis and treatment = research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /
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