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@article{159463,
        author = {Saumya Prasad and Muntzar Sayyed and Pratik Turkar and Ayush Tambe and Rashmi Jolhe},
        title = {Brain Tumor MRI Image Segmentation using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {26-33},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159463},
        abstract = {The proposed work aims to develop a segmentation model using Deep Learning Technique, which is a sub-part of Machine Learning. Using a CNN (Convolutional Neural Networks) model preferably Resnet50 Architecture, we aim to develop a model to detect tumours present in the patients’ brain MRI images. Initially, the model will classify the given dataset and segregate into images having tumour and no-tumour. Additionally, the model will highlight the tumour mask in the input image and will display the predicted mask along with the actual mask of the brain tumour. Our project mainly focuses on localization of the tumour and displaying its mask.},
        keywords = {Brain tumour, MRI images, Resnet50 Architecture, CNN – Convolutional   Neural Networks, Deep Learning},
        month = {},
        }