3D virtual staining with 2D and 2.5D U-Nets

Official Pytorch Code base for "MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation"

3D cerebrovascular volume segmentation in Pytorch.

Model training code for "A seasonally invariant deep transform for visual terrain-relative navigation"

An example of easytorch implementation on retinal vessel segmentation.

Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.

U-Net

Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.

Monte Carlo dropout method for uncertainty quantification in image segmentation

Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.

Transforming 2D images into 3D semantically segmented scenes using innovative CNN architecture and COLMAP reconstruction.

Utilizing U-NET deep-learning to deconvolve Structured Illumination Microscopy (SIM) Images. A clean and concise python implemenation.

MICCAI2019: 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

Segmentation of cancerous tumors using Mamba. Code, resources, and paper provided. We manage to make a small (42k param) model that can segment pretty well.

crystal structure analysis with RHEED and ML

Real-time speech enhancement pipeline — custom-trained U-Net denoising model, ONNX inference, Overlap-Add synthesis, and virtual audio routing for Teams, Zoom, and DAW use. CPU-only, no cloud dependency.

U-Net algorithm for segmentation of Hippocampus from MRI brain scans for quantification of Alzheimer's Disease Progression.

Standard U-Net based image denoising on COCO Dataset

基于ResNet改进U-Net，融合注意力机制和ASPP模块，实现多类别语义分割。Improve U-Net based on ResNet, integrate attention mechanism and ASPP module, and realize multi-category semantic segmentation.

CymoHub: U-Net, Attention U-Net and Pix2Pix for Seagrass Mapping using WorldView Satellite Imagery