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Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data.

, , , , and . EUSIPCO, page 2460-2464. IEEE, (2014)

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Modified U-Net for Automatic Brain Tumor Regions Segmentation., , , and . EUSIPCO, page 1-5. IEEE, (2019)Hybrid attention mechanism for liver tumor segmentation in CT images., , , , and . EUVIP, page 1-6. IEEE, (2022)Automatic 3D segmentation of MRI data for detection of head and neck cancerous lymph nodes., , , , , and . SPA, page 298-303. IEEE, (2018)3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods., , , , , , and . EMBC, page 2419-2422. IEEE, (2015)A Boundary Optimization Scheme for Liver Tumors from CT Images., , , , and . EUSIPCO, page 1135-1139. IEEE, (2023)Modified fuzzy c-means clustering for automatic tongue base tumour extraction from MRI data., , , , and . EUSIPCO, page 2460-2464. IEEE, (2014)Automatic 3D Detection and Segmentation of Head and Neck Cancer from MRI Data., , , , and . EUVIP, page 1-6. IEEE, (2018)Segmentation of Head and Neck Tumours Using Modified U-net., , , and . EUSIPCO, page 1-4. IEEE, (2019)Automatic detection of larynx cancer from contrast-enhanced magnetic resonance images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94142N. SPIE, (2015)Automatic pharynx and larynx cancer segmentation framework (PLCSF) on contrast enhanced MR images., , , , , , and . Biomed. Signal Process. Control., (2017)