MRI brain tumor segmentation and prediction using modified region growing and adaptive SVM

A Srinivasa Reddy, P Chenna Reddy - Soft Computing, 2021 - Springer
Magnetic resonance imaging (MRI) is one of the tumor diagnostic tools in any part of the
body. Nowadays, the brain tumor is becoming a major cause of the death of many …

Automatic classification and localization of prostate cancer using multi-parametric MRI/MRS

R Trigui, J Mitéran, PM Walker, L Sellami… - … Signal Processing and …, 2017 - Elsevier
Prostate cancer is considered to be the third and sixth leading cause of death from cancer in
men in developed and developing countries, respectively. As Multiparametric Magnetic …

Status of glycosylated hemoglobin and prediction of glycemic control among patients with insulin-treated type 2 diabetes in North China: a multicenter observational …

J Wang, MY Wang, H Wang, HW Liu, R Lu… - Chinese medical …, 2020 - mednexus.org
Background: Blood glucose control is closely related to type 2 diabetes mellitus (T2DM)
prognosis. This multicenter study aimed to investigate blood glucose control among patients …

Driver fatigue detection using mean intensity, SVM, and SIFT

S Naz, S Ziauddin, A Shahid - 2019 - reunir.unir.net
Driver fatigue is one of the major causes of accidents. This has increased the need for driver
fatigue detection mechanism in the vehicles to reduce human and vehicle loss during …

An initial screening method for tuberculosis diseases using a multi-objective gradient evolution-based support vector machine and C5. 0 decision tree

FE Zulvia, RJ Kuo, E Roflin - 2017 IEEE 41st annual computer …, 2017 - ieeexplore.ieee.org
Tuberculosis is one of the top ten causes of death worldwide. Although this disease is
curable and preventable, yet many new tuberculosis cases still occur especially in …

A classification approach to prostate cancer localization in 3T multi-parametric MRI

R Trigui, J Miteran, L Sellami, P Walker… - … for Signal and Image …, 2016 - ieeexplore.ieee.org
Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies,
its potential in prostate cancer detection and analysis. We propose a supervised …

Unsupervised representation learning for anomaly detection on neuroimaging. Application to epilepsy lesion detection on brain MRI

Z Alaverdyan - 2019 - hal.science
This work represents one attempt to develop a computer aided diagnosis system for
epilepsy lesion detection based on neuroimaging data, in particular T1-weighted and FLAIR …

Prostate Image Segmentation Using Deep Learning

K Shanmugalingam - 2024 - unsworks.unsw.edu.au
Biomedical imaging and analysis are recognised as potential non-invasive methods for
identifying various life-threatening conditions. The evolution and widespread availability of …

An Efficient Cancer Prediction Mechanism Using SA and SVM

R Keerthana, C Haripriya, P Pabitha… - … and Control Systems …, 2018 - ieeexplore.ieee.org
Cancer is one of the deadly diseases that involve abnormal cell growth with the capability to
spread to all the parts of the body. Due to the extremeness of the disease, it is important to …

Innovative approach for identification of suspicious images

A Bhavsar, J Nair, A Upadhyay… - 2018 Second …, 2018 - ieeexplore.ieee.org
Images are the things those are being used in day to day life so much that it has become an
important aspect of everyone's life. Images have always been a popular thing to be instantly …