Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

Using U-Net Model to Detect Wildfire from Satellite Imagery

Tensorflow implementation of UNet on surgical Instrument dataset from laparoscopic videos

第7届泰迪杯挑战赛B题（一等奖）医学图像分割部分代码分享

The project presents a comparative study of Brain Tumor Segmentation using 3 approaches - 1) Sobel Operator and U-Net, 2) V-Net, 3) W-Net

Semantic Segmentation project for Autonomous Driving based on a TensorFlow implementation of UNet

UNet 2.0 - Pytorch implementation of the U-Net 2.0 for image semantic segmentation, with processing blocks for noisy images

Iterative Vertebrae Segmentation - VerSe dataset

Used UNET approach to remove background and classify body parts from image.

Semantic Segmentation Example

A U-Net-50 model for segmenting road networks in aerial images. Trained on the Massachusetts Roads Dataset, the model accurately identifies and segments roads, making it ideal for applications in urban planning and autonomous driving

Music Source Separation web application using U-Net model with 2 main features: Audio Separation & Karaoke

Code used in relation to the neurodegenerative disorder study with [11C]PiB and [18F]FE-PE2I tracers (2022). Image preparation, model inference and metrics extraction.

Tensorflow implementation of U-Net model with TPU Estimator support.

Deep learning Projects with code

Tensorflow based framework for 3D-Unet with Knowledge Distillation

🧠 Segment brain tumors accurately using a 2D U-Net model in PyTorch with the BraTS 2020 dataset for efficient evaluation and visualization.

discusses deep learning models for segmenting MRI images, specifically the UNET model for Brain Tumor Segmentation

PyTorch implementation of a UNet model to generate colored polygon images from polygon inputs and color names