IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
GitHub

GitHub - atlan-antillia/TensorFlow-FlexUNet-Image-Segmentation-Aeroscapes: TensorFlowFlexUNet Image Segmentation for Aeroscapes.

As shown below, the inferred masks look similar to the ground truth masks, but they lack precision in certain areas. The AeroScapes aerial semantic segmentation benchmark comprises of images captured ...
GitHub

atlan-antillia/TensorFlow-FlexUNet-Image-Segmentation-MVTec-CABLE

This is the first experiment of Image Segmentation for MVTec-CABLE based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass) , and a 512x512 pixels PNG dataset ...
IEEE

2.5D-UNet-HC: 2.5D-UNet Based on Hybrid Convolution for Prostate Ultrasound Image Segmentation

Abstract: In the clinical diagnosis of prostate cancer, transrectal ultrasound (TRUS) is a commonly used examination method. Accurate segmentation of the prostate from TRUS images is crucial for ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...