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morteza89 / Brain-Tumor-Segmentation

Star 3

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.

python machine-learning deep-learning kaggle medical-imaging segmentation image-segmentation unet cnn-keras unet-image-segmentation tumor-segmentation mri-segmentation lgg-mri-segmentation
  • Updated Dec 15, 2021
  • Python

Apiquet / Segmentation

Star 3

Image segmentation project. Two architectures implemented: VGG-16 + FCN-8 module and U-Net. For FCN-8, pre-trained weights are used from SSD300. Although it is designed for object detection, its feature extractor can be reused in another task involving similar classes. Linked article explains the full project.

computer-vision deep-learning tensorflow vgg segmentation fcn transfer-learning image-segmentation unet tf unet-image-segmentation
  • Updated Jan 28, 2022
  • Jupyter Notebook
Road-Segmentation-convolutional-neural-network-classifier

EliaFantini / Road-Segmentation-convolutional-neural-network-classifier

Star 0

An AICrowd Challenge: CNN classifier that predicts whether the pixels of an image represent a road or not.

python classifier data-science machine-learning ai deep-learning jupyter-notebook pytorch artificial-intelligence classification artificial-neural-networks matplotlib convolutional-neural-networks unet data-augmentation f1-score classifier-model deeplabv3 unet-image-segmentation deeplab-v3-plus
  • Updated Sep 25, 2022
  • Jupyter Notebook

Syun1208 / uit-car-racing-2022

Star 1

This repository shows information about the solution of our team joining the competition, namely UIT Car Racing 2022. Although the project has some hesitations about algorithms for controller, all of the machine learning methods have been optimized for hardware that can easily to build up FPS to serve for real-time operating system.

cpp cnn embedded-systems self-driving-car unet tensorrt onnx jetson-nano yolov4-tiny
  • Updated Mar 21, 2023
  • Python

kaledhoshme123 / Determine-the-location-of-the-skin-lesion-spread

Star 0

Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.

keras image-processing medical-imaging convolutional-neural-networks image-segmentation unet skin-segmentation u-net medical-image-analysis imagesegmentation skin-cancer unet-image-segmentation unet-keras unet-segmentation skin-cancer-detection u-net-plus-plus skin-cancer-detection-cnn
  • Updated Aug 6, 2023
  • Jupyter Notebook

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