Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
keras implementation of unet plus plus
Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.
🏥 医学图像作业:图像配准论文阅读;眼底血管分割实验
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—Attention U-Net, SEResNet) and a nested decoder structure with deep supervision (—UNet++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
Clean Implementation of Unet3+ and validation on Cityscapes dataset.
Logiciel de détection, localisation & segmentation de carries sur des radiographies dentaires.
PyTorch implementation of medical semantic segmentations models, e.g. UNet, UNet++, DUCKNet, ResUNet, ResUNet++, and support knowledge distillation, distributed training, Optuna etc.
UNet++, UNet, SegNet and DeepLabv3 implemented in Keras for MoNuSeg dataset
Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165
3D car detection competition on Kaggle : https://www.kaggle.com/c/pku-autonomous-driving/overview
An open-source UNet-based pipeline for nuclei segmentation in histopathology images using the PanNuke dataset. It features an interactive web app for easy data visualization and handling, making AI tools accessible even for non-experts. This project provides a foundation for training and exploring histopathology data.
Implementation of UNET++ for CAC Scoring using Tensorflow
Model for Doctor's Cyclop Project at FPT Edu Hackathon 2021
This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.
[🥉 3rd place] AI-powered web application able to track changes in the urban landscape
UNet and UNet++ implemented in Tensorflow
Architecture implemntation of various Unet models with pre-trained backbones, UNet++ model with pretrained backbone on Medical dataset
Brain MRI segmentation using segmentation models
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