About this document
DRINet For Medical Image Segmentation by ashishraikwar is a document available to read on EtoBox.
The document presents DRINet, a novel convolutional neural network architecture designed for medical image segmentation, which improves upon the U-Net architecture by incorporating dense connections and residual inception blocks. DRINet has shown superior performance in three clinical segmentation tasks: cerebrospinal fluid segmentation in brain CT images, multi-organ segmentation in abdominal CT images, and brain tumor segmentation in MR images. The architecture enhances feature representation while mainta
- Author
- ashishraikwar
- Language
- EN