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International Journal of Advanced Networking and Applications

Year

2023

Authors

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Anusha, P.

Computer Vision in Deep Learning for the Detection of Cancer and its Treatment

Abstract Views :74 | PDF Views:1

Authors

Y. Jahnavi ¹, P. Anusha ², Mudit Mathur ³, Vidisha Tiwari ⁴

Affiliations
1 Department of Computer Science, Dr V S Krishna Govt Degree and PG College (Autonomous), A. U. TDR – HUB, Visakhapatnam, Andhra Pradesh, IN
2 Dept of Computer Science and Engineering, Guru Nanak Institute of Technology, Hyderabad, Telangana, IN
3 Anheuser-Busch InBev, Bangalore, Karnataka, IN
4 Masters in Technology Management, University of Illinois urbana, Champaign, US

Source

International Journal of Advanced Networking and Applications, Vol 15, No 3 (2023), Pagination: 5983 - 5988

Abstract

Computer vision (CV) is an effective mechanism that helps the computer to see pictorial stimuli from pointing out the edges to having a comprehensive understanding of the complete scenario. In this saga, Deep Learning (DL) has evolved as a crucial part of CV to process data exploiting multi-layered complex structures or layers made of multiple nonlinear alterations. This particular research shows the implementation of DL in the proper diagnosis of cancer and seeking a suitable solution to the disease. DL is an integral part of CV considering a multimodal discriminative model to conduct a diagnosis of diseases, clinical predictions, prognostics, and a combination of such activities. The study upholds the relevance of SSD in having single-shot images with high-resolution pixels to have the images to identify and diagnose the disease. The mechanism leads to early detection of cancer and if the disease gets detected earlier, it can seek a formidable solution, though there are challenges like an alignment of hardware with the CV software, and lack of training of the staff, still DL has the potentiality to create a significant impact on cancer treatment.

Keywords

Computer Vision (CV), Deep Learning (DL), Single Shot Detector (SSD), Cancer Detection Algorithms.

Full Text

References

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. Y. Jahnavi, Data Classification using Waikato Environment for Knowledge Analysis (LAP LAMBERT Academic Publishing, 2019)

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