Bone cancer detection using feature extraction based machine learning model

A Sharma, DP Yadav, H Garg, M Kumar… - … Methods in Medicine, 2021 - Wiley Online Library
Bone cancer is considered a serious health problem, and, in many cases, it causes patient
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …

The fusion of deep learning and fuzzy systems: A state-of-the-art survey

Y Zheng, Z Xu, X Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Deep learning presents excellent learning ability in constructing learning model and greatly
promotes the development of artificial intelligence, but its conventional models cannot …

[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …

MU Nasir, S Khan, S Mehmood, MA Khan, A Rahman… - Sensors, 2022 - mdpi.com
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …

[HTML][HTML] An intelligent auxiliary framework for bone malignant tumor lesion segmentation in medical image analysis

X Zhan, J Liu, H Long, J Zhu, H Tang, F Gou, J Wu - Diagnostics, 2023 - mdpi.com
Bone malignant tumors are metastatic and aggressive, with poor treatment outcomes and
prognosis. Rapid and accurate diagnosis is crucial for limb salvage and increasing the …

[HTML][HTML] Automatic detection of osteosarcoma based on integrated features and feature selection using binary arithmetic optimization algorithm

P Bansal, K Gehlot, A Singhal, A Gupta - Multimedia Tools and …, 2022 - Springer
Osteosarcoma is one of the most common malignant bone tumors mostly found in children
and teenagers. Manual detection of osteosarcoma requires expertise and it is a labour …

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review

J Lu, G Ma, G Zhang - IEEE Transactions on Fuzzy Systems, 2024 - ieeexplore.ieee.org
Machine learning draws its power from various disciplines, including computer science,
cognitive science, and statistics. Although machine learning has achieved great …

[HTML][HTML] Design of a honey badger optimization algorithm with a deep transfer learning-based osteosarcoma classification model

T Vaiyapuri, A Jothi, K Narayanasamy, K Kamatchi… - Cancers, 2022 - mdpi.com
Simple Summary Osteosarcoma is one of the aggressive bone tumors with numerous
histologic patterns. Histopathological inspection is a crucial criterion in the medical …

[PDF][PDF] Optimized swarm enabled deep learning technique for bone tumor detection using histopathological image

D Anand, OI Khalaf, F Hajjej, WK Wong, SH Pan… - SINERGI, 2023 - researchgate.net
Cancer subjugates a community that lacks proper care. It remains apparent that research
studies enhance novel benchmarks in developing a computer-assisted tool for prognosis in …

Diagnostic Performance of Artificial Intelligence in Detection of Primary Malignant Bone Tumors: a Meta-Analysis

MA Salehi, S Mohammadi, H Harandi… - Journal of Imaging …, 2024 - Springer
We aim to conduct a meta-analysis on studies that evaluated the diagnostic performance of
artificial intelligence (AI) algorithms in the detection of primary bone tumors, distinguishing …

[HTML][HTML] Advancing retinoblastoma detection based on binary arithmetic optimization and integrated features

N Alruwais, M Obayya, F Al-Mutiri, M Assiri… - PeerJ Computer …, 2023 - peerj.com
Retinoblastoma, the most prevalent pediatric intraocular malignancy, can cause vision loss
in children and adults worldwide. Adults may develop uveal melanoma. It is a hazardous …