This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

The U-Net Segmentation plugin for Fiji (ImageJ)

This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework.

Segmentation models for 3D data with different backbones. PyTorch.

Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach

manual image labelling and transfer learning for segmentation

Build U-NET with TensorFlow 2 and train a dataset annotated with labelme

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)

This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.

U-Net for person segmentation in TensorFlow using Keras API.

Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597

🖍️ LabelImgTool is a graphical image annotation tool which can label many kinds of object type (ex: Pen, Eraser, Hollow Rectangle, Filled Rectangle, Hollow Circle, Filled Circle, Hollow Ellipse, Filled Ellipse, Rectangle ROI, Irregular Shape ROI) in images. It can be applied to many deep learning fields, including object detection, semantic segm…

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

This repository contains the code for the Retina Vessel Segmentation (DRIVE) using the UNET architecture in TensorFlow 2.0

TensorFlow Lite segmentation on Raspberry Pi 4 aka Unet at 7.2 FPS with 64-bit OS

Tensorflow implementation of UNet on surgical Instrument dataset from laparoscopic videos

This repository contains the code for Lung segmentation using Montgomery dataset in TensorFlow 2.0.