Identification of Foxtail Millet Solution for Malignant Colorectal Cell Growth Reduction Using Deep Learning-Based Mobile Net Model

Abstract

Millets are cereal crops, commonly grown in semi-arid regions. Millets are known to be a good source of fiber, magnesium, phosphorous, zinc, serotonin, and gluten-free product that helps to heal Cancer effectively. The active components of Foxtail millet bran (FMBP) are promoting higher levels of reactive oxygen species (ROS) that help block the STAT3 pathway by reducing the growth of malignant cells in intestine. Nowadays in medical colonoscopy, histological image analysis and MRI are some commonly adapted techniques for the identification of polyps in the colon. However, the manual approaches are very time-consuming and less accurate. There is no specific model available that can measure the effectiveness of millet in healing malignant cell growth in colon. The main goal is to design a deep learning based MoblileNet-V3 model for the detection and classification of histological images. This study will help researchers and medical practitioners to compare the malignancy status before and after the consumption of millet.