Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/2965 2019 2019 Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education Coimbatore, Tamil Nadu, India Santhosh Santhosh Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education Coimbatore, Tamil Nadu, India S. P. Sasirekha Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education Coimbatore, Tamil Nadu, India R. Santhosh Brain Tumour (BT) a mass or a lump or a growth which occurs due to abnormal cell division or unusual growth of cells in the brain tissue. Initially, the two major types of BT are Primary BT and Secondary BT, the tumour that originate from brain is known as Primary BT and it may be cancerous or non-cancerous. The tumour the initiates from other part of the body and spreads to the brain is stated as secondary BT.  Diagnosing BT generally involves a multiple investigation method, such as MRI, CT, PET, SPECT as well as the neurological examinations and blood investigations, whereas some of the patients may need biopsies to evaluate the tumour size and stage. Here we use MRI and CT images for BT segmentation whereas these modalities play a major role in diagnosing, treating, planning and monitoring the BT patients. Moreover, the multimodal data can provide a quantitative information’s about the tumour size, shape, volume and texture. While segmenting the BT the lack of segmentation methods and the interpretability of the segmented regions are limited. To overcome this, we propose a novel LSTM autoencoder bas NAS method which is used for the extracting the BT features and these features can be fused using Contextual Integration Module (CIM) and segmented using the Segmentation Guided Regulizer (SGR) which helps to overcome the stated issues. Finally, the performance metrices are calculated by comparing with the state-of -the -art methods and our method achieves a best segmenting metrices. 2024 2024 70 86 10.54216/JCIM.140205 https://www.americaspg.com/articleinfo/2/show/2965