基于人工智能的皮肤病理检测

2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI:10.1109/ISPCC53510.2021.9609516

Samardh Vadupu, Kalyana Srinivas Kandala, Anudeep Peddi, N. Yadav, G. Kumar, P. A. Harsha Vardhini

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引用次数: 2

摘要

皮肤癌是现代生活中一种令人不安的疾病。由于黑色素瘤生长迅速，治疗费用高，因此应尽早发现，以减少疾病的影响。黑色素瘤的死亡率也很高。由于人工检测癌细胞需要较长时间，导致治疗延误。本文提出利用图像处理技术检测受影响的癌细胞。经过分割处理，提取特征。这里安排CNN来提取特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Skin Pathology Detection Using Artificial Intelligence

Skin Cancer is a disturbing disease in modern life. This disease should be detected as early as possible to reduce the impact of the disease as the growth of Melanoma cancer is rapid and it’s treatment cost is so high. The death rate caused by the Melanoma cancer is also so high. As the detection of the cancer cells manually take long time which causes delay in the treatment. This paper is proposed to detect the effected cancer cells by utilizing image processing. After segmentation process the features are extracted. Here CNN is arranged to extract the features.

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2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)

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