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Esophagus segmentation from planning CT images using an atlas-based deep learning approach.

, , , , and . Comput. Methods Programs Biomed., (2020)

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Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector Machines., , and . ICIAR (2), volume 6754 of Lecture Notes in Computer Science, page 151-160. Springer, (2011)Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network., , , , and . Pattern Recognit., (2018)Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures., , , and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 295-304. Springer, (2005)Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations., , , , , , and . Comput. Ind., (2018)Esophagus segmentation from planning CT images using an atlas-based deep learning approach., , , , and . Comput. Methods Programs Biomed., (2020)Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis., , , , and . Comput. Methods Programs Biomed., (2021)A Spatial and Temporal Sentiment Analysis Approach Applied to Twitter Microtexts., , , , and . J. Inf. Data Manag., 6 (2): 118-129 (2015)Breast cancer diagnosis from histopathological images using textural features and CBIR., , , , , , , and . Artif. Intell. Medicine, (2020)Lung nodule classification using artificial crawlers, directional texture and support vector machine., , , , , and . Expert Syst. Appl., (2017)Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM., , and . MLDM, volume 5632 of Lecture Notes in Computer Science, page 540-553. Springer, (2009)