A comprehensive review of extreme learning machine on medical imaging
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 …
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 …
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 …
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 …
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 …
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 …