Automatic detection of fin, operculum and skin deformities in Mediterranean Fish Species

2026/03/01 by Ioannis Christofilogiannis, Dimitra G. Georgopoulou, Charalabos Vouidaskis +3

paper · doi:10.1016/j.aquaeng.2025.102684

crossref created 2025/12/26 · crossref deposited 2026/02/28 · crossref issued 2026/03/01 · crossref published 2026/03/01 · crossref published-print 2026/03/01 · crossref indexed 2026/08/05

Citations

• YOLO-FD: An accurate fish disease detection method based on multi-task learning
• YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
• YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
• Automated Morphological Feature Assessment for Zebrafish Embryo Developmental Toxicity Screens
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows