Learn some of the most effective ways to train an image segmentation and classification model using AI, from choosing a dataset to fine-tuning the model. Sign in to view more content ...

Segmentation: 2D U-Net trained on CT slices with Dice + BCE loss. Classification: ResNet18 fine-tuned on extracted nodule patches. Before training or running any models, you must extract 2D image ...

Annotations: Contains segmentation masks outlining the pets in the images. models: This folder stores the trained models, including saved weights and model configurations. The models are used for both ...

Skin tones come in a diverse range of shades and are often necessary for various computer vision tasks. While skin detection is a well-studied focus, skin tone classification is not. Most works also ...

Finally, use ResNet50 for training. The overall flow chart is shown in Figure 6. FIGURE 6. Figure 6 Three-stage model network ... the CLAHE preprocessing module is added according to the ...

Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images. Sci Rep. 2020 Nov 12;10(1):19726. 2 Yaqub M, Feng J, Zia MS, Arshid K, ...