A comprehensive review of extreme learning machine on medical imaging

Y Huérfano-Maldonado, M Mora, K Vilches… - Neurocomputing, 2023 - Elsevier
The feedforward neural network based on randomization has been of great interest in the
scientific community, particularly extreme learning machines, due to its simplicity, training …

[PDF][PDF] Automated retinal imaging system for detecting cardiac abnormalities using cup to disc ratio

SP Rajan, L Kavitha - Indian Journal of Public Health Research & …, 2019 - researchgate.net
This advanced and adaptable world that consists of diseases that are due to the
cardiovascular disease (CVD) plays a salient role in human health that leads to severe …

Recent advances on mammogram imaging for breast cancer analysis: a technological review

L Mann, S Ranjan Nayak - … in Pattern Recognition: Proceedings of CIPR …, 2022 - Springer
Breast cancer is a leading cause of death after skin cancer and is a threat to women
worldwide. The automated technique of breast cancer that is still being considered is …

Novel Method for Reducing False Alarm Rate in Mobile based Tele-Care System.

SP Rajan - International Journal of Emerging Trends in …, 2022 - search.ebscohost.com
Tele-monitoring system is the method of patient monitoring, provided that medical
practitioner and patient are separated by a large distance and it also involves inaccessibly …

[PDF][PDF] Proposed model for the detection of breast cancer using mammogram images

M Manikandan, A Nithya - An International Peer Reviewed Open Access … - researchgate.net
In the modern world the technology is growing day by day and at the same time the
biological pathology is also growing in a proportional rate, wherewomen are diagnosed …

[IDÉZET][C] Identification of Resistor Types Using Extreme Learning Machine Algorithms and Morphological Operation

R Nuraini - The IJICS (International Journal of Informatics and …, 2022

[IDÉZET][C] Solar panel crack detection using CNN

K Sheikdavood, T MUTHUPRIYA, M MONISHA… - Turkish Journal of Physiotherapy …

[IDÉZET][C] MACHINE LEARNING BASED RECOGNIZING A PERSON IN CROWD USING ATTRIBUTE ATTENTION SELECTION

K SHEIKDAVOOD, V KAVIN, V RAGHUNAATH… - Turkish Journal of Physiotherapy …

[IDÉZET][C] GENERATIVE ADVERSARIAL NETWORKS FOR SINGLE IMAGE SUPER RESOLUTION AND ENHANCEMENT

S MOHANRAJ, S MOHANRAJ, M SANTHOSH… - Turkish Journal of Physiotherapy …

[IDÉZET][C] LIVER CANCER DETECTION USING HYBRIDIZED FULLY CONVOLUTIONAL NEURAL NETWORK BASED ON DEEP LEARNING FRAMEWORK

G SHANMUGAVADIVEL, VSK PNANDHAKUMAR… - Turkish Journal of Physiotherapy …