Caverns Detection and Caverns Report in Tuberculosis: lesion detection based on image using YOLO-V3 and median based multi-label multi-class classification using SRGAN.

@inproceedings{asakawa-2022-caverns, author = {Tetsuya Asakawa and Riku Tsuneda and Kazuki Shimizu and Takuyuki Komoda and Masaki Aono}, editor = {Guglielmo Faggioli and Nicola Ferro and Allan Hanbury and Martin Potthast}, title = {{Caverns Detection and Caverns Report in Tuberculosis: lesion detection based on image using YOLO-V3 and median based multi-label multi-class classification using SRGAN}}, booktitle = {{Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022}}, series = {CEUR Workshop Proceedings}, volume = {3180}, pages = {1347--1354}, publisher = {CEUR-WS.org}, year = {2022}, url = {https://ceur-ws.org/Vol-3180/paper-100.pdf} }