| INFORMATION ABOUT THE PROJECT | |
|---|---|
| Project acronym | SoftLungX |
| Public project title | Software for Diagnosis of Lung Diseases from Chest X-ray Images |
| A one-line project description | SoftLungX aims to develop deep learning model for classification of patients’ radiological scans of lungs into multiple distinct respiratory diseases and risk classes based on the severity of the disease. |
| Project description | Lung disease is one of the most common medical conditions in the world and it refers to several types of diseases or disorders that prevent the lungs from functioning properly. The main goal of the SoftLungX project is to create a ground-breaking, state-of-the-art software, completely adaptable to the possibilities of respiratory image-based disease recognition and risk level assessment. Bioengineering Research and Development Centre will be a technology provider to create a comprehensive deep learning model capable of recognizing and distinguishing between instances of COVID-19, emphysema, hernia, mass, pneumonia, pulmonary edema etc. using patients’ radiological scans and then classify these patients into multiple distinct risk classes based on the severity of the disease. While a lot of work suggests that neural networks may be used for the detection of respiratory disease, there seems to be a lack of systems that are capable of distinguishing COVID-19 from other lung structure and appearance altering diseases, hence, this project will be based not only on the identification of patients with COVID-19, but also on these previously mentioned diseases and the assessment of their risk levels. The main challenge in the project comes from the sheer amount of medical scans needed for every one of the aforementioned diseases that are required for the training of the deep learning model, and that all need to be labelled by their respective risk classes by a medical professional. This challenge is tackled by the use of data from public databases, combined with the new data that could be amassed in a timely manner for University Clinical Centre Kragujevac, which will also be the first technology adopter. Created system can be used in daily clinical practice, where it would assist pulmonologists and other medical experts in treatment of the patients suffering with respiratory illnesses. |
| Project’s website | http://softlungx.bioirc.ac.rs/ |
| Project’s social media accounts | Facebook |
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| Solution Illustration / video |  |
| INFORMATION ABOUT TEAM MEMBERS | |
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| Team member #1 | |
| Name: | Nenad Filipović |
| One-line bio: | Principal investigator and a full professor in the area of biomedical engineering |
| Team member photo |  |
| Social media links: | https://rs.linkedin.com/in/nenad-filipovic-27432820 https://orcid.org/0000-0001-9964-5615 |
| Team member #2 | |
| Name: | Tijana Geroski |
| One-line bio: | Team member working on biomedical image processing using deep learning |
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| Social media links: | https://rs.linkedin.com/in/tijana-sustersic93 https://orcid.org/0000-0003-1417-0521 |
| Team member #3 | |
| Name: | Lazar Dašić |
| One-line bio: | Team member working on application of machine learning and artificial intelligence on medical imaging data |
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| Social media links: | https://www.linkedin.com/in/lazar-dašić-449414240 https://orcid.org/0000-0002-8055-100X |
| Team member #4 | |
| Name: | Ognjen Pavić |
| One-line bio: | Team member working on application of deep learning and image processing methods in medicine |
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| Social media links: | https://www.linkedin.com/in/ognjen-pavić-451359258 https://orcid.org/0000-0003-2533-1079 |
| Team member #5 | |
| Name: | Marina Petrović |
| One-line bio: | Full professor in the area of internal medicine and director of Clinic for pulmonology of University Clinical Centre Kragujevac |
| Team member photo |  |
| Social media links: | https://orcid.org/0000-0001-7646-5144 |
| Team member #6 | |
| Name: | Dragan Milovanović |
| One-line bio: | Full professor in the area of pharmacology and toxicology and deputy director for the organization of medical logistics at the University Clinical Centre in Kragujevac |
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| Social media links: | https://orcid.org/0000-0002-7728-0608 |
| INFORMATION ABOUT THE ENTITY | |
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| Entity #1 | |
| Name | Bioengineering Research and Development Centre Kragujevac, Serbia (BioIRC) |
| Country | Serbia |
| Description | SME devoted to software development for various problems in biomedical engineering |
| Website | www.bioirc.ac.rs |
| Logo |  |
| Social media links | https://rs.linkedin.com/company/bioirc |
| Entity #2 | |
| Name | University Clinical Center Kragujevac (CCKG) |
| Country | Serbia |
| Description | One of the four highest level health institutions in the country |
| Website | https://ukck.rs/ |
| Logo |  |
| Social media links | https://rs.linkedin.com/company/kc-kragujevac |
