An infographic titled 'CONCLUSION' summarizing advantages and factors influencing Transfer Learning in medical image analysis, with blue icons.
I am designing a poster presentation for a conference paper, I am writing conclusion section, however, not plain text, design some good graphical conclusion for me with following two points: TL offers numerous advantages in medical image analysis, including improved convergence, faster training, computational efficiency, generalization ability, and address class imbalance and data scarcity. While TL is beneficial in most cases, especially with limited data, but the extent of improvement depends on several factors such as model architecture, dataset size, and domain similarity between source and target tasks. Mehr sehen
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