Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images.
Kirill Bogomasov|Daniel Braun|Andreas Burbach|Ludmila Himmelspach|Stefan Conrad
| Anthology ID: | DBLP:conf/clef/BogomasovBBH019 |
|---|---|
| Volume: | Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019. |
| Year: | 2019 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| URL: | https://ceur-ws.org/Vol-2380/paper_150.pdf |
| DBLP: | conf/clef/BogomasovBBH019 |
| BibTeX: |
@inproceedings{bogomasov-2019-feature,
author = {Kirill Bogomasov and
Daniel Braun and
Andreas Burbach and
Ludmila Himmelspach and
Stefan Conrad},
editor = {Linda Cappellato and
Nicola Ferro and
David E. Losada and
Henning M\"{u}ller},
title = {{Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images}},
booktitle = {{Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019}},
series = {CEUR Workshop Proceedings},
volume = {2380},
publisher = {CEUR-WS.org},
year = {2019},
url = {https://ceur-ws.org/Vol-2380/paper_150.pdf}
}