A Proficient Approach to Detect Osteosarcoma Through Deep Learning

Ahammad M, Abedin MJ, Khan MAR, Alim MA, Rony MAT, Rashedul Alam KM, Aashiqur Reza DS, Uddin I (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: IEEE Computer Society

Book Volume: 2022-April

Conference Proceedings Title: International Conference on Emerging Trends in Engineering and Technology, ICETET

Event location: Nagpur, IND

ISBN: 9781665467414

DOI: 10.1109/ICETET-SIP-2254415.2022.9791502

Abstract

Osteosarcoma is a life-threatening bone cancer that usually attacks young adults and children, independent of age. It habitually starts in quick-growing bone areas close to the ends of the arm or leg bones, such as the distal femur, proximal tibia, and proximal humerus. However, it can still be revealed in any bone, including the pelvis, jaw, and shoulder. The starting and the preeminent conclusion of any cancer are to identify the tumor as before long as conceivable, and it's moreover pertinent for Osteosarcoma. Osteosarcoma has a few arrange in its life cycle. The need of categorizing cancer patients into tall or short risk categories has prompted several research organizations in the biomedical and bioinformatics fields to consider using Profound Learning (Deep Learning) methodologies. Fast.ai, a Deep Learning Framework for enhancing the efficiency and accu-racy of osteosarcoma tumor categorization into tumor classes, is presented in this study (tumor vs non-tumor). At the conclusion of the study, we found that employing neural networks may provide excellent precision and capability in osteosarcoma classification and model comparison.

Involved external institutions

Noakhali Science and Technology University BD Bangladesh (BD) American International University Bangladesh BD Bangladesh (BD) Khulna University BD Bangladesh (BD) Daffodil International University BD Bangladesh (BD)

How to cite

APA:

Ahammad, M., Abedin, M.J., Khan, M.A.R., Alim, M.A., Rony, M.A.T., Rashedul Alam, K.M.,... Uddin, I. (2022). A Proficient Approach to Detect Osteosarcoma Through Deep Learning. In International Conference on Emerging Trends in Engineering and Technology, ICETET. Nagpur, IND: IEEE Computer Society.

MLA:

Ahammad, Mejbah, et al. "A Proficient Approach to Detect Osteosarcoma Through Deep Learning." Proceedings of the 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing, ICETET-SIP-22 2022, Nagpur, IND IEEE Computer Society, 2022.

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