Computer-aided diagnosis based on extreme learning machine: a review

Z Wang, Y Luo, J Xin, H Zhang, L Qu, Z Wang… - IEEE …, 2020 - ieeexplore.ieee.org
Computer-Aided Diagnosis (CAD) can improve the accuracy of diagnosis effectively, reduce
the rate of misdiagnosis, and provide the support for the valid decision. In clinical …

[PDF][PDF] A deep learning approach for tumor tissue image classification

X Yang, SY Yeo, JM Hong, ST Wong… - IASTED Biomedical …, 2016 - researchgate.net
The performance of automatic tumor tissue classification using traditional machine learning
methods greatly depends on the choice of meaningful descriptive features derived from the …

Classification of cotton oil in the semi-refining process using image processing techniques: Image processing for industrial applications

PD Araújo, MVM Moya… - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
This paper presents a steps model classification in the cotton oil semi-refining process by
image processing. A simple system of efficient analysis was obtained, allowing its use on the …

[PDF][PDF] Computer-Aided Diagnosis Based on Extreme Learning Machine: A Review

W ZHU, X WANG - scholar.archive.org
ABSTRACT Computer-Aided Diagnosis (CAD) can improve the accuracy of diagnosis
effectively, reduce the rate of misdiagnosis, and provide the support for the valid decision. In …

Análise e classificação da qualidade do linter e do óleo de algodão utilizando técnicas de visão computacional

PD Araújo - 2019 - repositorio.ufc.br
Os métodos de classificação utilizados em processos industriais estão em constante
aprimoramento e um dos fatores está no alinhamento tecnológico em planta fabril. Porém …

Robust Small Target Detection Under Intense Noise Based on Extreme Learning Machine

L Depeng, L Zhengzhou, C Peng… - 2018 2nd IEEE …, 2018 - ieeexplore.ieee.org
The robust detection of dim small targets is the key problem in infrared search and track
systems. However, the intense noise in infrared image has similar appearance and intensity …