Deep Convolutional Extreme Learning Machine with AlexNet-Based Bone Cancer Classification Using Whole-Body Scan Images-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume: Page:307-325
ISSN:2730-9061
Container-title:Disruptive Technologies and Digital Transformations for Society 5.0
language:en
Short-container-title:

Author:

Anand D.,Arulselvi G.,Balaji G. N.,Ghantasala G. S. Pradeep

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-8118-2_13

Reference34 articles.

1. Ward E, DeSantis C, Robbins A, Kohler B, Jemal A (2014) Childhood and adolescent cancer statistics, 2014. CA Cancer J Clin 64:83–103

2. Siegel RL, Miller KD, Jemal A (2018) Cancer statistics, 2018. CA Cancer J Clin 68:7–30

3. Fletcher CDM (2013) World health organization. International agency for research on cancer. In: WHO classification of tumours of soft tissue and bone, 4th edn. IARC Press, Lyon, p 468

4. Do BH, Langlotz C, Beaulieu CF (2017) Bone tumor diagnosis using a naive Bayesian model of demographic and radiographic features. J Digit Imaging 30:640–647

5. Ho CY, Syamsudin M, Shen YC (2020) Cancer literature classification methods performance. In: 2020 international conference on decision aid sciences and application (DASA). IEEE, pp 801–805

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Modeling of Breast Cancer Outcomes Using Supervised Machine Learning Algorithms;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-08-15

2. Enhancing Brain Cancer Detection and Localization Using YOLOv8 Object Detection;Advances in Medical Technologies and Clinical Practice;2024-07-19