Spectral Mapping of Singing Voices: U-Net-Assisted Vocal Segmentation

Computer vision tool using Tensorflow and Keras to train U-Net and U-Net++ with the optional use of EfficientNetB7 as a pretrained backbone for binary segmentation of microscopy images

Brain Tumor Semantic Segmentation using U-Net.

We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for our segmentation.

This repo is about an image enhancement

Brain Tumor Segmentation with U-Net (ML Model) - CNN

🚀 H2G-Net: Segmentation of breast cancer region from whole slide images

Official repository of the paper xU-NetFullSharp: The Novel Deep Learning Architecture for Chest X-Ray Bone Shadow Suppression

Advanced Machine Learning with Neural Networks, spring 2024. A U-Net based GAN for adversarial attacks.

Spatial prediction across human visual cortex during naturalistic vision.

The proposed hybrid model aims to deliver both aberration-free in-focus amplitude and phase reconstructions, while accurately predicting in-focus distances, from out-of-focus holograms. The tasks were handled independently with the aim of later merging them.

Whole Brain Segmentation and Parecllation Using OpenMAP-T1 Method for 3D T1 Brain MRI

SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation

This repository contains an implementation of image segmentation using PyTorch and the U-Net architecture. The project focuses on human segmentation using the EfficientNet-B0 encoder and custom training pipeline.

Graduation Project

WIP...

A compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

Segmentation of Hep2 Images using image processing/machine learning algorithms

This project is an end-to-end deep learning pipeline for lung cancer detection using 3D CT scan data.

IRA-Unet: Inception Residual Attention Unet in Adversarial Network for Cardiac MRI Segmentation