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

3D cerebrovascular volume segmentation in Pytorch.

An example of easytorch implementation on retinal vessel segmentation.

Monitor and analyze plant growth conditions by computing geometric and color traits from any top-view image dataset

Monte Carlo dropout method for uncertainty quantification in image segmentation

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

Implementation of U-net and pipeline of changing color on human hair.

This repository provides an implementation of semantic segmentation for road networks using PyTorch and the U-Net architecture. It focuses specifically on processing aerial images from the Massachusetts dataset.

Prediction of convecition cell initialization 1 hr before

Practicing U-net Coding

This research work basically highlights my undergrad thesis works. In my thesis, I have worked on the BraTS 2020 dataset. My total journey of thesis from building various models to writing paper is presented here.

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

This project explores the application of the U-Net convolutional neural network architecture for the task of aerial image segmentation of the Dubai landscape.

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

crystal structure analysis with RHEED and ML

[Done] All of project and assignment in **Computer Vision** class, Gachon Univ. Spring 2022

A Meta Search Space for Encoder Decoder Networks

Convolutional Neural Network for Leaf Photo Reconstruction

U-Net

U-Net and SegNet