糖心Vlog

Research Project

ImageCLEFcaption

Principal Investigator
Dr Alba Garcia Seco De Herrera

Interpreting and summarising the insights gained from medical images such as radiology output is a time-consuming task that involves highly trained experts and often represents a bottleneck in clinical diagnosis pipelines.

Consequently, there is a considerable need for automatic methods that can approximate this mapping from visual information to condensed textual descriptions. The more image characteristics are known, the more structured are the radiology scans and hence, the more efficient are the radiologists regarding interpretation.

We work on the basis of a large-scale collection of figures from open access biomedical journal articles (PubMed Central). All images in the training data are accompanied by UMLS concepts extracted from the original image caption.

The first step to automatic image captioning and scene understanding is identifying the presence and location of relevant concepts in a large corpus of medical images. Based on the visual image content, this projects provides the building blocks for the scene understanding step by identifying the individual components from which captions are composed. The concepts can be further applied for context-based image and information retrieval purposes.

ImageCLEFcaption was added as a task of the ImageCLEF evaluation campaign in 2017. ImageCLEF is part of the . The goal is to create databases to interpret medical images.

The organisers of the ImageCLEFcaption challenge distribute the 鈥渃ollection鈥 consisting of images and annotations for image concept extraction. Participants then apply their tools and techniques which are then evaluated in a blind collection.

Partners

This project is run in collaboration with the University of Applied Sciences and Arts Dortmund, Germany, and the University of Applied Sciences Western Switzerland, Sierre, Switzerland.

Publications

M眉ller, H., Kalpathy-Cramer, J. and Garcia Seco De Herrera, A., (2019). . Editors: Ferro, N. and Peters, C., . Springer. 231- 250. 978-3-030-22947-4.

Pelka, O., Friedrich, CM., Garc铆a Seco de Herrera, A. and M眉ller, H., Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding.

Garc铆a Seco de Herrera, A., Parrilla Andrade, F., Bentley, L. and Aceves Compean, A., 糖心Vlog at ImageCLEFcaption 2020 task.

Ionescu, B., M眉ller, H., P茅teri, R., Dang-Nguyen, D-T., Zhou, L., Piras, L., Riegler, M., Halvorsen, P., Tran, M-T., Lux, M., Gurrin, C., Chamberlain, J., Clark, A., Campello, A., Garcia Seco De Herrera, A., Ben Abacha, A., Datla, V., A. Hasan, S., Liu, J., Demner-Fushman, D., Obioma, P., Friedrich, CM., Dicente Cid, Y., Kozlovski, S., Liauchuk, V., Kovalev, V., Berari, R., Brie, P., Fichou, D., Dogariu, M., Daniel Stefan, L. and Constantin, MG., (2020). .

Ionescu, B., M眉ller, H., P茅teri, R., Abacha, AB., Datla, V., Hasan, SA., Demner-Fushman, D., Kozlovski, S., Liauchuk, V., Cid, YD., Kovalev, V., Pelka, O., Friedrich, CM., Garcia Seco De Herrera, A., Ninh, V-T., Le, T-K., Zhou, L., Piras, L., Riegler, M., Halvorsen, PL., Tran, M-T., Lux, M., Gurrin, C., Dang-Nguyen, D-T., Chamberlain, J., Clark, A., Campello, A., Fichou, D., Berari, R., Brie, P., Dogariu, M., Stefan, LD. and Constantin, MG., (2020). .

Pelka, O., Friedrich, CM., Seco De Herrera, AG. and M眉ller, H., (2019). .

Ionescu, B., M眉ller, H., P茅teri, R., Cid, YD., Liauchuk, V., Kovalev, V., Klimuk, D., Tarasau, A., Abacha, AB., Hasan, SA., Datla, V., Liu, J., Demner-Fushman, D., Dang-Nguyen, D-T., Piras, L., Riegler, M., Tran, M-T., Lux, M., Gurrin, C., Pelka, O., Friedrich, CM., Garcia Seco De Herrera, A., Garcia, N., Kavallieratou, E., del Blanco, CR., Cuevas, C., Vasillopoulos, N., Karampidis, K., Chamberlain, J., Clark, A. and Campello, A., (2019). .

Ionescu, B., M眉ller, H., P茅teri, R., Dang-Nguyen, D-T., Piras, L., Riegler, M., Tran, M-T., Lux, M., Gurrin, C., Cid, YD., Liauchuk, V., Kovalev, V., Ben Abacha, A., Hasan, SA., Datla, V., Liu, J., Demner-Fushman, D., Pelka, O., Friedrich, CM., Chamberlain, J., Clark, A., Garcia Seco De Herrera, A., Garcia, N., Kavallieratou, E., del Blanco, CR., Rodr铆guez, CC., Vasillopoulos, N. and Karampidis, K., (2019). .

Garcia Seco De Herrera, A., Eickhof, C., Andrearczyk, V. and M眉ller, H., (2018). .

Ionescu, B., M眉ller, H., Villegas, M., Garcia Seco De Herrera, A., Eickhoff, C., Andrearczyk, V., Dicente Cid, Y., Liauchuk, V., Kovalev, V., Hasan, SA., Ling, Y., Farri, O., Liu, J., Lungren, M., Dang-Nguyen, D-T., Piras, L., Riegler, M., Zhou, L., Lux, M. and Gurrin, C., (2018). .

Eickhoff, C. ,and Schwall, I., and Garcia Seco De Herrera, A., and M眉ller, H., (2017) "". In: CLEF Conference and Labs of the Evaluation Forum, CLEF 2017.

Ionescu, B., M眉ller, H., Villegas, M., Arenas, H., Boato, G., Dang-Nguyen, D-T., Dicente Cid, Y., Eickhoff, C., Garcia Seco De Herrera, A., Gurrin, C., Islam, B., Kovalev, V., Liauchuk, V., Mothe, J., Piras, L., Riegler, M. and Schwall, I., (2017). .

Abacha, AB., Seco De Herrera, AG., Gayen, S., Demner-Fushman, D. and Antani, S., (2017). .

Researchers