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Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results., , and . ICMLA, page 593-598. IEEE Computer Society, (2016)Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images., , and . ICMLA, page 582-587. IEEE Computer Society, (2016)A method for liver segmentation in perfusion MR images using probabilistic atlases and viscous reconstruction., , , and . Pattern Anal. Appl., 21 (4): 1083-1095 (2018)Analysis of Deep Networks with Residual Blocks and Different Activation Functions: Classification of Skin Diseases.. IPTA, page 1-6. IEEE, (2019)Challenges and Recent Solutions for Image Segmentation in the Era of Deep Learning.. IPTA, page 1-6. IEEE, (2019)Machine Learning for Optimum CT-Prediction for qPCR., , and . ICMLA, page 588-592. IEEE Computer Society, (2016)An automatic level set based liver segmentation from MRI data sets., , , and . IPTA, page 192-197. IEEE, (2012)Artificial Neural Network Based Abdominal Organ Segmentations: A Review., and . ICMLA, page 1191-1194. IEEE, (2015)Fully automated liver segmentation from SPIR image series., , and . Comp. in Bio. and Med., (2014)Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning., , and . ICMLA, page 1204-1209. IEEE, (2015)