IEEE

DSCP-UNet: A Tunnel Crack Segmentation Algorithm Based on Lightweight Diminutive Size and Colossal Perception

Abstract: To effectively enhance the ability to detect surface crack defects in tunnels under tunnel conditions, this paper proposes a new tunnel crack segmentation algorithm using light-weight ...
IEEE

MiT-Unet: Mixed Transformer Unet for Transmission Line Segmentation in RAV Images

Abstract: The segmentation of power lines in drone images is one of the challenging tasks in the field of computer vision. Although power lines share the same difficulties with tiny object ...
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 ...
GitHub

Nuclei Instance Segmentation with UNet

This project implements a machine learning model based on the UNet architecture for nuclei instance segmentation. It was developed as part of a university project. Nuclei instance segmentation plays a ...
GitHub

SDSeg' object has no attribute 'unet_sd_keys

File "/home/y/anaconda3/envs/sdseg/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 553, in fit self._run(model) File "/home/y/anaconda3/envs ...
Frontiers

MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution

Background and objectives: This paper introduces a novel lightweight MM-3DUNet (Multi-task Mobile 3D UNet) network designed for efficient and accurate segmentation of breast cancer tumors masses from ...