Identification in Advance Breast Cancer Detection Using the Embedded System with IOT Technology and Mlx90614 Temperature Sensor

Identification in Advance Breast Cancer Detection Using the Embedded System with IOT Technology and Mlx90614 Temperature Sensor

Ms. M.S. Yoga Priya^1, R. Haritha², R. Elavarasi², B. Durga Devi², P. Jansirani²,

¹Assistant Professsor, Department of BME, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamilnadu, India

²UG Scholar, Department  of BME, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamilnadu, India

Abstract

Breast cancer is one of the toughest survival challenges in our life. Nowadays, in Indian women are highly flown by majorly in breast cancer. This is the second most perilous cancer in our world. Mammograms are the primary detecting device used all over the world, however, because of the air gaps, they haven’t been as successful. Since 2018, proton therapy is a therapeutic technique but it is utilized after crossing over to the second stage. It can’t treat metastasized cancer cells in different body parts. To overcome the drawbacks of wearable devices. This can be achieved with the help of MLX90614 temperature sensors and IoT for the Cayenne cloud by Arduino. The technique we are going to use for diagnosing is signal processing. Also, this would be a non-radiation, non-invasive, comfortable, and cost-effective manner that can be conveniently used as a breast cancer analysis technique.

Keywords: Breast cancer, MLX90614 temperature sensor, IoT technology, Cayenne cloud, Arduino, non-radiation, non-invasive, comfortable, cost-effective.