| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Machine learning and deep learning modeling and algorithms with applications in medical and health care / edited by Manoj Diwakar ... [et al.]. |
| other author: |
Diwakar, Manoj. |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xii, 429 p. :ill. (chiefly col.), digital ;24 cm. |
| [NT 15003449]: |
Enhancing dysarthric speech for improved clinical communication: A deep learning approach -- Speech-based real-world scene understanding for assistive care of the visually impaired -- Medical image segmentation with deep learning: An overview -- Lightweight generative model for synthetic biomedical images with enhanced quality -- Pediatric dental disease detection using X-ray image enhancements and deep learning algorithms -- Evaluation of Parkinson disease from MRI images using deep learning techniques -- Analyzing the effect of eyes open and eyes closed states on EEG in Parkinson's disease with ON and OFF medication -- Automated detection of diabetic retinopathy using ResNet-50 deep learning model -- Deep learning model for decoding subcortical brain activity from simultaneous EEG-FMRI multi-model data -- Secure transmission of medical images in IoMT for smart cities using data hiding scheme -- Deep learning approaches to heart stroke prediction: Model evaluation and insights -- Harnessing predictive modeling techniques for early detection and management of diseases: Challenges, innovations, and future directions -- Fundamentals of machine learning and deep learning for healthcare applications -- Automatic detection of Parkinson disease through various machine learning models -- Transforming healthcare: The role of AI and ML in disease prediction, treatment, and patient satisfaction -- Multi-modality medical (CT, MRI, ultrasound etc.) Image fusion using machine learning/deep learning -- Leveraging digital devices for objective behavioral health assessment: Computational machine learning methods for sleep and mental health evaluation -- Optimizing medical image quality through hybrid machine learning techniques and convolutional denoising autoencoders -- Image segmentation in multimodal medical imaging using deep learning models -- Brain MRI analysis for multiple sclerosis detection using deep learning techniques. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Medical applications. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-98728-1 |
| ISBN: |
9783031987281 |