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Advances in intelligent disease diag...

Kacprzyk, Janusz.

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Advances in intelligent disease diagnosis and treatment = research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in intelligent disease diagnosis and treatment/ edited by Chee-Peng Lim ... [et al.].
Reminder of title:	research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions /
other author:	Kacprzyk, Janusz.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	x, 304 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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
Subject:	Artificial intelligence - Medical applications. -
Online resource:	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 treatmentresearch 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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245 0 0 $a Advances in intelligent disease diagnosis and treatment $h [electronic resource] : $b research papers in honour of Prof. Janusz Kacprzyk for invaluable contributions / $c edited by Chee-Peng Lim ... [et al.].
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300 $a x, 304 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 259
505 0 $a 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.
520 $a 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.
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650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Health Informatics. $3 892928
700 1 $a Kacprzyk, Janusz. $3 572477
700 1 $a Chee, Peng Lim. $3 3724506
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)