W-Net can be trained on a large dataset of brain MRI scans, where each scan is labeled with a binary mask that highlights the tumor regions. Once trained, the W-Net can then be used to segment new brain MRI scans and identify tumor regions with high accuracy. This type of segmentation can be useful for diagnosing and monitoring brain tumors, as well as guiding surgical interventions
Trained the W-Net on a large dataset of brain MRI scans and corresponding tumor masks, and used it to segment the tumor regions in new MRI scans with high accuracy. This type of segmentation can be useful for diagnosing and monitoring brain tumors, and can guide surgical interventions
Color code: red: necrosis green: edema blue: non-enhancing tumor yellow: enhancing tumor
