Hippocampus segmentation

Multi-class segmentation using UNet Architecture

Brain Tumor Segmentation Using UNet-VGG19

Is segmentation a fundamental step in computer vision? this repo aims to prove that there are problems in which segmentation shouldn't be performed to obtain better results

Development of U-Nets capable of segmenting Brain Lower Grade Glioma MRI images. Integrating standard U-Net with transformers blocks

🎾 Finding and counting the number of colored balls in the image from the camera [👨‍🏫 Teacher: Киселев Александр Викторович] {6️⃣ Semester} (Artificial intelligence)

[Robust cardiac MR image segmentation foundation model] This code contains the most powerful cardiac segmentation model trained from UK biobank dataset with superior performance on out-of-domain datasets. This model can be used out-of-box, and serve as a foundation model for further finetuning

Image Segmentation with Encoder Decoders

segmentation tenant by category of event Semarang Great Sale 2022

Deep convolutional neural network implementation for brain tumor segmentation.

This project compares U-Net, FCN, and DeepLabv3 models for instance-level lung image segmentation

Train Mask R-CNN for Image Segmentation

In collaboration with Dr. Liang Zhan and the 2022 Hillman Academy. This study implements a Dense Dense U-Net, a convolutional neural network, to segment hand x-rays using K-Means clusters as ground truths. A Support Vector Regression model utilizes produced segmentations to predict bone age with greater speed, precision and accuracy as radiologists

Python scripts about image segmentation for autonomous driving.

This repo contains UNETs with various backbones used for semantic image segmentation of traffic images from the DAVID dataset.

Fine tune a deeplab v3 model for binary image segmentation.

In this project I'm going to segment Tumor in MRI brain Images with a UNET which is based on Keras. The dataset is available online on Kaggle, and the algorithm provided 99% accuracy with a validation loss of 0.11 in just 10 epochs.

Improved MeshCNN for surface type segmention on realistic CAD models.

This repository contains the code and data for selfie image segmentation project. The project aims to automatically segment a person's face and body from a selfie image, by using deep learning models and computer vision techniques.

A collection of medical imaging and machine learning projects, including foundational segmentation models.