Dataset Groups Activity Stream LITS MICCAI-2017 challenge dataset The LITS MICCAI-2017 challenge dataset is used for training and testing the proposed 2-stage cascaded model for segmentation of liver and its tumors in CT images. BibTex: @dataset{Krishna_Chaitanya_Kaluva_and_Mahendra_Khened_and_Avinash_Kori_and_Ganapathy_Krishnamurthi_2025, abstract = {The LITS MICCAI-2017 challenge dataset is used for training and testing the proposed 2-stage cascaded model for segmentation of liver and its tumors in CT images.}, author = {Krishna Chaitanya Kaluva and Mahendra Khened and Avinash Kori and Ganapathy Krishnamurthi}, doi = {10.57702/mapo1zp9}, institution = {No Organization}, keyword = {'CT Images', 'Liver Segmentation', 'Tumor Segmentation'}, month = {jan}, publisher = {TIB}, title = {LITS MICCAI-2017 challenge dataset}, url = {https://service.tib.eu/ldmservice/dataset/lits-miccai-2017-challenge-dataset}, year = {2025} }
