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Found 4 papers, 3 papers with code
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification with Swin-HAFNet
In this work, we present a new curated MRI dataset designed specifically for brain tumor segmentation and classification tasks.
FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
Automatic lung image segmentation assists doctors in identifying diseases such as lung cancer, COVID-19, and respiratory disorders.
Single Image Denoising via a New Lightweight Learning-Based Model
The FRDF first employs a novel downsampling technique to generate six different images from the noisy input, which are then fed into a lightweight residual network with 23K parameters.
ABANet: Attention boundary-aware network for image segmentation
Our dataset of masked faces with mask region labels and source code will be available online.
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