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    Multi-Scale Network for Thoracic Organs Segmentation

    Muhammad Ibrahim Khalil1, Samabia Tehsin1, Mamoona Humayun2, N.Z Jhanjhi3,4,*, Mohammed A. AlZain5

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3251-3265, 2022, DOI:10.32604/cmc.2022.020561

    Abstract Medical Imaging Segmentation is an essential technique for modern medical applications. It is the foundation of many aspects of clinical diagnosis, oncology, and computer-integrated surgical intervention. Although significant successes have been achieved in the segmentation of medical images, DL (deep learning) approaches. Manual delineation of OARs (organs at risk) is vastly dominant but it is prone to errors given the complex irregularities in shape, low texture diversity between tissues and adjacent blood area, patient-wide location of organisms, and weak soft tissue contrast across adjacent organs in CT images. Till now several models have been implemented on multi organs segmentation but… More >

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