Azwinndini Gladys Mudau, Jabu Tsakani Mabunda, Lindelani Fhumudzani Mushaphi
Challenges and strategies to implement exclusive breastfeeding in the selected Districts of Limpopo Province, South Africa: professional nurses´ perspectives
The Pan African medical journal
accurately studying structural connectivity requires precise tract segmentation strategies unet network widely recognized exceptional capacity image segmentation tasks provides remarkable results large tract segmentation highquality diffusionweighted imaging dwi data used however short tracts associated various neurological diseases pose specific challenges particularly highquality dwi data acquisition within clinical settings concerned aimed evaluate unet network ability segment short tracts using dwi data acquired different experimental conditions end conducted three types training experiments involving 350 healthy subjects 11 white matter tracts including anterior posterior hippocampal commissure fornix uncinated fasciculus first experiment model exclusively trained highquality data human connectome project hcp dataset second experiment focused images healthy subjects acquired local hospital dataset representing typical clinical routine acquisition third experiment hybrid training approach employed combining data hcp local hospital datasets best model also tested unseen dwis 10 epilepsy patients local hospital 10 healthy subjects acquired scanner another company outcomes third experiment demonstrated notable enhancement performance contrasted preceding trials specifically short tracts within local hospital dataset achieved dice scores ranging 060 065 similar intervals obtained hcp data first experiment substantial improvement compared scores 037 050 obtained local hospital dataset experiment improvement persisted method applied diverse scenarios including different scanner acquisitions epilepsy patients results indicate combining datasets different sources coupled resolution standardization strengthens neural network ability generalize predictions across spectrum datasets nevertheless short tract segmentation performance intricately linked training composition validation testing data moreover curved tracts intricate structural nature adds complexities segmenting although network training approach tested herein provided promising results caution must taken extrapolating application datasets acquired distinct experimental conditions even case higherquality data analysis long short tracts