Bone cancer detection using particle swarm extreme learning machine neural networks

M Abdelaal, TE Tobely - Journal of Medical Imaging and Health …, 2019 - ingentaconnect.com
Bone cancer is a malignant tumor that affects the healthiest tissues in the bone. Bone cancer
is identified by swelling, bone weakness risk factors, lumps in the affected area, fever, chills …

Deep Convolutional Extreme Learning Machine with AlexNet-Based Bone Cancer Classification Using Whole-Body Scan Images

D Anand, G Arulselvi, GN Balaji… - … : Industry 4.0 to Society 5.0, 2024 - Springer
Bone cancer is a disease class that is characterized by freed cell growth, and this is the main
cause of earlier death across the globe. Thus, earlier bone cancer detection and …

[PDF][PDF] Brain MR image classification based on deep features by using extreme learning machines

A Arı, OF Alcin, D Hanbay - Biomedical Journal of Scientific and …, 2020 - researchgate.net
Magnetic Resonance Imaging (MRI) is a noninvasive medical testing procedure that can
help physicians to examine internal body structures and diagnose a variety of disorders …

Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier

JG Melekoodappattu, PS Subbian… - International Journal of …, 2021 - Wiley Online Library
Breast imaging technique called mammography has gained bigger attention among the
researchers for the diagnosis of breast malignancy in the woman. Mammogram screening is …

Predicting osteosarcoma using extreme gradient boosting model

P Varalakshmi, AV Priyamvadan… - … on Advances in …, 2022 - ieeexplore.ieee.org
Bone cancer is when unusual cells grow out of control in our bone. It destroys normal bone
tissue. Osteosarcoma, also called osteogenic sarcoma, is a kind of bone cancer. It happens …

[HTML][HTML] Diagnosis of osteoporosis using intelligence of optimized extreme learning machine with improved artificial algae algorithm

D Devikanniga - International Journal of Intelligent Networks, 2020 - Elsevier
Osteoporosis is the silent killer disease that mostly occur in elderly people because of bone
fragility and fracture. Early and accurate diagnosis of osteoporosis saves the patient life. This …

[PDF][PDF] Extreme Learning Machine for Thyroid Nodule Classification with Graph Cluster Ant Colony Optimization Based Feature Selection

S Rasheeduddin, KR Rao - International Journal of Recent …, 2019 - researchgate.net
Thyroid nodule is defined as an endocrine malignancy that occurs in humans due to
abnormal growth of cells. Recently, an increasing level of thyroid incidence has been …

Automated breast cancer detection using hybrid extreme learning machine classifier

JG Melekoodappattu, PS Subbian - Journal of Ambient Intelligence and …, 2023 - Springer
Breast cancer has been identified as one of the major diseases that have led to the death of
women in recent decades. Mammograms are extensively used by physicians to diagnose …

Bone tumour detection using feature extraction with classification by deep learning techniques

M Singh, M Angurala, M Bala - Research Journal of Computer …, 2020 - technicaljournals.org
The majority of early deaths worldwide are attributed to a group of diseases known as bone
cancers, which are characterised by unchecked cell development. This research propose …

[PDF][PDF] KIDNEY STONES IDENTIFICATION UTILIZING EXTREME LEARNING MACHINE

S FAZA, RF RAHMAT, M HUSNA, A PADLY… - Journal of Theoretical …, 2023 - jatit.org
The kidneys are two reddish-brown bean-shaped organs in humans. One of the diseases
that attack the kidneys is kidney stones. Kidney stones occur when there are minerals or …