Yung, Ka-Wai;
Sivaraj, Jayaram;
De Coppi, Paolo;
Stoyanov, Danail;
Loukogeorgakis, Stavros;
Mazomenos, Evangelos B;
(2024)
Diagnosing Necrotising Enterocolitis Via Fine-Grained Visual Classification.
IEEE Transactions on Biomedical Engineering
, 71
(11)
3160 -3169.
10.1109/tbme.2024.3409642.
Preview |
PDF
Diagnosing_Necrotising_Enterocolitis_Via_Fine-Grained_Visual_Classification.pdf - Accepted Version Download (11MB) | Preview |
Abstract
Necrotizing Enterocolitis (NEC) is a devastating condition affecting prematurely born neonates. Reviewing Abdominal X-rays (AXRs) is a key step in NEC diagnosis, staging and treatment decision-making, but poses significant challenges due to the subtle, difficult-to-identify radiological signs of the disease. In this paper, we propose AIDNEC - AI D iagnosis of NEC rotizing enterocolitis, a deep learning method to automatically detect and stratify the severity (surgical or medical) of NEC from no pathology in AXRs. The model is trainable end-to-end and integrates a Detection Transformer and Graph Convolution modules for localizing discriminative areas in AXRs, used to formulate subtle local embeddings. These are then combined with global image features to perform Fine-Grained Visual Classification (FGVC). We evaluate AIDNEC on our GOSH NEC dataset of 1153 images from 334 patients, achieving 79.7% accuracy in classifying NEC against No Pathology. AIDNEC outperforms the backbone by 2.6%, FGVC models by 2.5% and CheXNet by 4.2%, with statistically significant (two-tailed p < 0.05) improvements, while providing meaningful discriminative regions to support the classification decision. Additional validation in the publicly available Chest X-ray14 dataset yields comparable performance to state-of-the-art methods, illustrating AIDNEC's robustness in a different X-ray classification task. Dataset and source code will be released in our institutional database.
| Type: | Article |
|---|---|
| Title: | Diagnosing Necrotising Enterocolitis Via Fine-Grained Visual Classification |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/tbme.2024.3409642 |
| Publisher version: | http://dx.doi.org/10.1109/tbme.2024.3409642 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Necrotizing Enterocolitis, Fine Grained Visual Classification, Abdominal X-ray |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10193306 |
Archive Staff Only
 |
View Item |
