An art project using generative adversarial network (GAN)
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Updated
Jul 18, 2019 - Jupyter Notebook
An art project using generative adversarial network (GAN)
This repository contains implementation of UNET architecture for Image Segmentation.
recreation of UNET: Convolutional networks for biomedical image segmentation. Implemented with keras & tensorflow.
In this project, we analyzed a video recording of a vehicle driving on the road and computed semantic segmentation for each frame in the video.
People with pulmonary disease often have a high opacity, which makes segmentation of the lung from chest X-rays more difficult. In this study, I propose a methodology to improve the performance of the U-NET structure so that it is able to extract the features and spatial characteristics of the X-ray images of the chest region.
Find the nuclei in divergent images to using UNet
Unet-based semantic segmentation for pet images in TensorFlow using the Oxford-IIIT Pet Dataset.
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps reduce the number of premature deaths. In the study, I am working on creating a convolutional neural network capable of identifying tumor areas within medical images (which were taken with ultrasound).
Image Segmentation using UNET
Image segmentation using U-Net in tensorflow
Machine Learning
Model to segment 3D MRI images using a 3D UNET based FCN architecture and convert it to a surface mesh. Please see the link below for the full paper.
The project aims to transform the realm of beauty by developing a sophisticated UNet architecture model where the input represents a woman adorned with makeup, while the output showcases her natural, makeup-free beauty.
Tensorflow based framework for 3D-Unet with Knowledge Distillation
Collection of notebooks for image segmentation tasks.
Tensorflow implementation of U-Net model with TPU Estimator support.
Identify glaciers in satellite images with a U^2-Net
Implementation of U_Net architecture for medical image segmentation purpose.
TensorFlow Lite segmentation on Raspberry Pi 4 aka Unet at 4.2 FPS
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