1.YOLOv8m-segmentation for detecting cervical burnout and caries in bitewing radiographs:A deep learning approach
Mohd Isyrafuddin Bin ISMAIL ; Nooritawati Md TAHIR ; Wan Syahirah Binti W. SAMSUDIN ; Mas Suryalis AHMAD ; Nashuha OMAR ; Mohd Yusmiaidil Putera Mohd YUSOF
Imaging Science in Dentistry 2026;56(1):26-35
Purpose:
This study evaluated the performance of the YOLOv8m-seg model in detecting and delineating interproximal caries and cervical burnout on bitewing radiographs and examined whether increasing the number of training epochs improved segmentation accuracy and consistency.
Materials and Methods:
In total, 1,410 bitewing radiographs were annotated using polygon-based masks by a trained dental clinician. The YOLOv8m-seg model was trained for 50, 100, and 150 epochs on 1,128 images and validated on 282 images using the Ultralytics segmentation framework. Model performance was assessed using precision, recall, and mean average precision at intersection-over-union thresholds of 0.5 and 0.5 to 0.95 (mAP0.5, mAP0.5-0.95) for both bounding box and mask outputs. Additional evaluation was conducted on a non-augmented validation subset.
Results:
Extended training duration was associated with improved segmentation performance. The highest mask mAP0.5-0.95 value was 0.828 at epoch 150. Both box-based precision and recall increased with longer training, whereas mask-based evaluation more accurately reflected the model’s ability to delineate the boundaries of caries and cervical burnout. Performance appeared consistent across both classes in the augmented validation split but was reduced in the non-augmented validation subset.
Conclusion
The YOLOv8m-seg model demonstrated high diagnostic accuracy in distinguishing proximal caries from cervical burnout on bitewing radiographs. Its mask-based outputs may assist clinicians in early lesion recognition and support improved diagnostic decision-making. Future studies should evaluate model generalizability across broader populations and diverse clinical environments and should prioritize assessment using non-augmented validation sets and independent test datasets.
2.THE EFFECT OF LOW INTENSITY ELECTROMAGNETIC FIELD (EMF) EXPOSURE ON PERICYTES IN BRAIN TISSUES AND BLOOD OXIDATIVE STRESS LEVEL IN RATS (Kesan Pendedahan Medan Elektromagnetik Intensiti Rendah (Emf) Terhadap Perisit Tisu Otak Dan Aras Stres Oksidatif Darah Tikus)
SYAHIRAH SAMSUDIN ; YANTI ROSLI ; ASMAH HAMID
Malaysian Journal of Health Sciences 2020;18(No.2):93-99
Studies on the potential effect of EMF exposure on permeability of the blood-brain barrier (BBB) in humans are virtually absent. This study was conducted to study the effect of EMF exposure on pericytes in brain tissues and its effect on oxidative stress level in the blood through total protein and malondialdehyde (MDA). About 16 male rats (Wistar) were used and divided into two groups which were negative control and treatment group. In negative control group, the animals were placed in a solenoid without any EMF exposure for 3 hours daily for 5 days. In the treatment group, the animals were placed in a solenoid with 0.3 mT EMF exposure for the same time duration. On day 3 and day 5, animals were sacrificed and the brain was removed for histological examination while on day 1, day 3 and day 5, the blood was collected for biochemistry analysis. Histological observation showed the presence of morphological changes in the brain tissues of rats that exposed to EMF. Statistical analysis showed that there is no significant decrease in total protein (p>0.05) between negative control group and treatment group. Meanwhile, MDA level in blood showed a significant increase in treatment group (p<0.05) as compared to the negative control group. The result obtained in this study, suggest that the exposure to EMF can cause changes to the morphology of pericytes in brain tissues, and can increase the MDA level in blood of rats.


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