Integrating Xilinx FPGA and intelligent techniques for improved precision in 3D brain tumor segmentation in medical imaging

An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT

(2021) Anil Kumar Budati et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Cascading handcrafted features and Convolutional Neural Network for IoT-enabled brain tumor segmentation

(2020) Hikmat Khan et al.   COMPUTER COMMUNICATIONS

Brain Tumor segmentation of T1w MRI images based on Clustering using Dimensionality Reduction Random Projection Technique

(2020) K. Rajesh Babu et al.   Current Medical Imaging Reviews

Machine learning in the Internet of Things: Designed techniques for smart cities

(2019) Ikram Ud Din et al.   Future Generation Computer Systems-The International Journal of eScience

A survey on software defined networking enabled smart buildings: Architecture, challenges and use cases

(2019) Muhammad Usman Younus et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare

(2018) Farman Ali et al.   COMPUTER COMMUNICATIONS

Brain tumor segmentation from multimodal magnetic resonance images via sparse representation

(2016) Yuhong Li et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition

(2016) Leandro Y. Mano et al.   COMPUTER COMMUNICATIONS

Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation

(2016) Dwarikanath Mahapatra   COMPUTER VISION AND IMAGE UNDERSTANDING

A survey of medical image registration – under review

(2016) Max A. Viergever et al.   MEDICAL IMAGE ANALYSIS

An efficient method for segmentation of images based on fractional calculus and natural selection

(2012) Pedram Ghamisi et al.   EXPERT SYSTEMS WITH APPLICATIONS