European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 7, Issue 10, 2020 3793 IMPROVED DUCK AND TRAVELER OPTIMIZATION (IDTO) ALGORITHM: A TWO- WAY EFFICIENT APPROACH FOR BREAST TUMOR SEGMENTATION USING MULTILEVEL THRESHOLDING Krishnaveni Arumugam 1* , Shankar Ramasamy 2# , Duraisamy Subramani 3# 1* Ph.D Research Scholar, Dept. of Computer Science, Chikkanna Government Arts College, Bharathiar University, Tamilnadu, India 2#,3# Assistant Professors, Dept. of Computer Science, Chikkanna Government Arts College, Bharathiar University, Tamilnadu, India Corresponding author: A.Krishnaveni Abstract: The merely human being who can accumulate yourself is you only. The pathologist is the caretaker who can help you to protect yourself from breast cancer. Invasive breast cancer of US women is approximately 281,550 in 2021. Objective: Early diagnosis of breast cancer using computer aided system is needed to create novel methods for fighting against the diseases. Methods: In this research a new Meta heuristic Duck Traveler Optimization algorithm is introduced for mammogram image segmentation. Automatic selection of threshold values is help to optimize the segmentation process in an efficient manner. IDTO calculation is utilized to amplify the Kapur's and Otsu's goal capacities. Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) of swarm intelligence algorithms are efficiently used for validating the performance of IDTO. Datasets: MIAS Dataset consists of 322 mammogram images are taken for experimentation. Findings: The results of PSNR values proved that the proposed IDTO leads the optimum threshold values better than PSO and GA. The execution season of IDTO division technique is assessed and contrasted with GSA. The best average time of IDTO has been declared the proposed method has the high efficiency with minimum time. Keywords Bio-Inspired Computing (BIC), Improved Duck Traveler Optimization (IDTO), Image segmentation, Kapur’s entropy, Multilevel Thresholding (MTH), Otsu’s between class variance. 1. Introduction Cancer originating in the mammary gland is the most common type of cancer in women. It is a major public health problem worldwide and is the second leading cause of death in the United States. In United States estimation by 2021 new deaths of breast cancer in both cases are 281,550 and diagnosed in both cases are 284,200 [1]. Medical care specialists put a ton of endeavors to conquer this savage infection. One of these endeavors is screening. By screening the breast malignancy can be recognized in beginning phases and accordingly the treatment can be more viable. It is conceivable to recognize breast disease by various types of screening strategies, for example, mammography, ultrasound, CT and MR. Mammography is the most broadly utilized screening technique. Bosom disease is the most well-known non-skin malignant growth of American ladies; however it can likewise happen in men. Consistently in the US, there are more than 266,000 new conclusions of bosom disease. A lady has a danger of 1 of every 8 for creating bosom malignant growth sooner or later during her lifetime. Figure 1: Breast tumor (resource: http://www.medicinenet.com/breast_cancer/article.htm)