notesum.ai
Published at November 6Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies
cs.CV
cs.AI
Released Date: November 6, 2024
Authors: Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, Muntequa Imtiaz Siraji, Nafisa Anjum, Sumiya Rajjab Shristy, Tanvin Rahman, Mahmuda Khatun, Md Rubel Dewan, Mosaddeq Hossain, Razia Sultana, Ripel Chakma, Sonet Barua Emon, Towhidul Islam, Mohammad Arafat Hussain

| Sl. | Dataset | Year | Number of Samples | Class Distribution | Note |
| 1 | Point-of-Care Ultrasound (POCUS) | 2020 | (216 patients) 202 videos 59 images | COVID-19 (35%) Bacterial Pneumonia (28%) Viral Pneumonia (2%) Healthy (35%) | Link111https://github.com/jannisborn/covid19_ultrasound/tree/master/data |
| 2 | Italian COVID-19 Lung Ultrasound Database (ICLUS-DB) | 2020 | (35 patients) 277 videos 58,924 frames | Score 0: Continuous A-line (34%) Score 1: Alteration in A-line (24%) Score 2: Small consolidation (32%) Score 3: Large consolidation (10%) | Link222https://www.disi.unitn.it/iclus |
| 3 | COVIDx-US | 2021 | 242 videos 29,651 images | COVID-19 (29%) CAP (20%) Non-pneumonia diseases (39%) Healthy (12%) | Link333https://github.com/nrc-cnrc/COVID-US |
| 4 | Boston Emergency Department Lung UltraSound (BEDLUS) | 2022 | (113 patients) 1419 videos 188,670 frames | B-lines (50.7%) No B-lines (49.3%) | Link444https://doi.org/10.7910/DVN/GLCZRB |
| 5 | COVID-19 Simulated and Labeled In Vivo Dataset (CSLID) | 2024 | 40,000 simulated images 174 external in vivo images 958 internal in vivo images | A-line, B-line, and Consolidation features (10,000 phantoms per feature) | Link555https://gitlab.com/pulselab/covid19 |
| 6 | Fictional Lumen Dissection Dataset (FLDD) | 2024 | 7050 ultrasound images | Pneumonia (31%) Normal (34%) COVID (35%) | Link666https://github.com/DASARINAGAVINOD/Covid-19_Ultrasound |
| 7 | Lung Ultrasound COVID Phantom Dataset (LUCPD) | 2024 | 564 phantom ultrasound images | 5 classes of object/artefact: Rib, Pleural line, A-line, B-line, and B-line confluence | Link777https://archive.researchdata.leeds.ac.uk/1263/ |