Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN

[1] Bray F(2018)Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA Cancer J Clin 68 394-424

[2] Marur S(2010)HPV-associated head and neck cancer: a virus-related cancer epidemic The lancet oncology 11 781-9

[3] Chow LQ(2020)Head and Neck Cancer N Engl J Med 382 60-72

[4] Njeh C(2008)Tumor delineation: The weakest link in the search for accuracy in radiotherapy Journal of medical physics/Association of Medical Physicists of India 33 136-79

[5] Vinod SK(2016)Uncertainties in volume delineation in radiation oncology: a systematic review and recommendations for future studies Radiother Oncol 121 169-24

[6] Verbakel WF(2019)Targeted intervention to improve the quality of head and neck radiation therapy treatment planning in the Netherlands: short and long-term impact International Journal of Radiation Oncology* Biology* Physics 105 514-57

[7] Ibragimov B(2017)Segmentation of organs-at‐risks in head and neck CT images using convolutional neural networks Medical physics 44 547-6

[8] Xing L(2019)Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network Phys Med Biol 64 205015-9

[9] Guo Z(2004)Impact of magnetic resonance imaging versus CT on nasopharyngeal carcinoma: primary tumor target delineation for radiotherapy Head Neck: Journal for the Sciences Specialties of the Head Neck 26 241-8

[10] Chung NN(2019)Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction Tomography 5 292-50

[1] Bray F(2018)Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA Cancer J Clin 68 394-424

[2] Marur S(2010)HPV-associated head and neck cancer: a virus-related cancer epidemic The lancet oncology 11 781-9

[3] Chow LQ(2020)Head and Neck Cancer N Engl J Med 382 60-72

[4] Njeh C(2008)Tumor delineation: The weakest link in the search for accuracy in radiotherapy Journal of medical physics/Association of Medical Physicists of India 33 136-79

[5] Vinod SK(2016)Uncertainties in volume delineation in radiation oncology: a systematic review and recommendations for future studies Radiother Oncol 121 169-24

[6] Verbakel WF(2019)Targeted intervention to improve the quality of head and neck radiation therapy treatment planning in the Netherlands: short and long-term impact International Journal of Radiation Oncology* Biology* Physics 105 514-57

[7] Ibragimov B(2017)Segmentation of organs-at‐risks in head and neck CT images using convolutional neural networks Medical physics 44 547-6

[8] Xing L(2019)Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network Phys Med Biol 64 205015-9

[9] Guo Z(2004)Impact of magnetic resonance imaging versus CT on nasopharyngeal carcinoma: primary tumor target delineation for radiotherapy Head Neck: Journal for the Sciences Specialties of the Head Neck 26 241-8

[10] Chung NN(2019)Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction Tomography 5 292-50