Analysis of correlation of LV-GLS over consecutive quartiles of 25 measurements. حسب Chantelle M. de Vet (16535257)

LV-GLS agreement analysis between expert and trainees over consecutive quartiles of 25 measurements. حسب Chantelle M. de Vet (16535257)

GLS analysis with 2D-STE software. حسب Chantelle M. de Vet (16535257)

"…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …"

Standard deviation of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. حسب Chantelle M. de Vet (16535257)

RV-GLS agreement analysis between expert and novice trainees over consecutive quartiles of 25 measurements. حسب Chantelle M. de Vet (16535257)

Standard deviation of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. حسب Chantelle M. de Vet (16535257)

ICC of each trainee RV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. حسب Chantelle M. de Vet (16535257)

ICC of each trainee LV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. حسب Chantelle M. de Vet (16535257)

Mean of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. حسب Chantelle M. de Vet (16535257)

Mean of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. حسب Chantelle M. de Vet (16535257)

(a, b). The statistical error analyses for the models using the same dataset. حسب Fahd Saeed Alakbari (10701871)

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... حسب Bin Pan (742525)

Evaluation of the effectiveness of double task. حسب Fan Yang (1413)

"…This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …"

Evaluation of the effectiveness of pruning. حسب Fan Yang (1413)

"…This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …"

The summary of ablation experiment. حسب Fan Yang (1413)

"…This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …"

Schematic of SADBIFB. حسب Fan Yang (1413)

"…This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …"

Schematic of the residual attention block. حسب Fan Yang (1413)

"…This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation. …"

The structure of the proposed network. حسب Fan Yang (1413)

Predicted results of the TCCT [4] network. حسب Fan Yang (1413)

Visualized results of different boundary labels. حسب Fan Yang (1413)