Image Segmentation and Feature Extraction for Gastric Cancer Detection

Gastric cancer is a prevalent and life-threatening disease that necessitates early detection for effective treatment.In recent years, image segmentation techniques have shown promise in aiding the detection of gastric cancer. This study introduces a novel approach for detecting gastric cancer by utilizing image segmentation and feature extraction methods.The primary objective is to accurately determine the presence of cancer in the stomach based on medical images. The proposed method involves segmenting the stomach region from the input image using advanced segmentation algorithms. Subsequently, relevant features are extracted from the segmented region to differentiate between cancerous and non-cancerous tissues. The experimental results validate the effectiveness of the proposed approach in accurately detecting gastric cancer. If implemented, this method has the potential to assist medical professionals in making timely and accurate diagnoses, ultimately leading to improved patient outcomes.