HIGHLIGHTS
- who: Eren Tekin from the Virasoft Corporation Watt University have published the paper: Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer, in the Journal: Scientific Reports Scientific Reports
- what: The aim of this experiment is to understand and analyze the performance of the proposed Tubule-U-Net framework developed based on three different CNN architectures which are EfficientNetB3, ResNet34, and DenseNet161 and U-NET. The main reason of obtaining low performance using these two models is that they use simple convolutional layer in . . .
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