Intelligent systems design and applications : smart heathcare. Volume 1 / Ajith Abraham, Anu Bajaj, Thomas Hanne, Patrick Siarry, editors.

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Smart Healthcare from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten,...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: International Conference on Intelligent Systems Design and Applications
Other Authors: Abraham, Ajith, 1968- (Editor), Bajaj, Anu (Editor), Hanne, Thomas (Editor), Siarry, Patrick (Editor)
Other title:Smart healthcare
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, [2024]
Series:Lecture notes in networks and systems ; v. 1046.
Subjects:
Table of Contents:
  • Identifying Lung Cancer from CT Scan Images with VGG16 Convolutional Neural Net
  • Cause and Effect of Dementia on Women in Technological Environment
  • Machine Learning Techniques for Pancreatic Cancer Detection
  • Integrating Artificial Intelligence and Data Analytics for Enhanced Healthcare Management Innovations and Challenges
  • An Intelligent model for post covid hearing loss
  • Generalized Skin Cancer Image Classification Performance using Xception Model
  • Analysis of Magnetic Resonance Imaging for Parkinsons Disease
  • Study on Health Issue Identification Using Deep Learning and Convolutional Neural Networks
  • Early stage Lung Cancer Prediction A machine Learning Approach
  • Convolutional Neural Network Based Brain Tumor Segmentation using Detectron
  • Deep Learning based Histopathological Analysis for Colon Cancer Diagnosis A Comparative Study of CNN and Transformer Models with Image Preprocessing Techniques
  • Detecting Parkinsons Disease at an Early Stage through Machine Learning Analysis of Brain MRI Images
  • Early Stage Cervical Cancer Detection via Ensemble Learning and Image Feature Integration
  • Comprehensive Comparative Analysis of Breast Cancer Forecasting Using Machine Learning Algorithms and Feature Selection Methods.