Tuberculosis CT Image Analysis Using Image Features Extracted by 3D Autoencoder.

@inproceedings{kazlouski-2020-tuberculosis, author = {Siarhei Kazlouski}, editor = {Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Hideo Joho and Christina Lioma and Carsten Eickhoff and Aur\'{e}lie N\'{e}v\'{e}ol and Linda Cappellato and Nicola Ferro}, title = {{Tuberculosis CT Image Analysis Using Image Features Extracted by 3D Autoencoder}}, booktitle = {{Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22-25, 2020, Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {12260}, pages = {131--140}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-58219-7_12}, doi = {https://doi.org/10.1007/978-3-030-58219-7_12} }