GitHub topics: cnn-segmentation
jpviguerasguillen/feedback-non-local-attention-fNLA
Keras (Tensorflow) code for the manuscript 'DenseUNets with feedback non-local attention for the segmentation of specular images of the corneal endothelium with Fuchs dystrophy'
Language: Python - Size: 40.6 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1
chwilms/superpixelRefinement
Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)
Language: Jupyter Notebook - Size: 9.29 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 27 - Forks: 4
shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
Language: Jupyter Notebook - Size: 282 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 140 - Forks: 37
OniroAI/Semantic-segmentation-with-MobileNetV3
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
Language: Python - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 13
fvilmos/road_segmentation
A small and fast CNN-based segmentation network is used to segment road / vehicles+pedestrians / other objects from the scene. The data collector uses CARLA simulator.
Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
sanggs/CO410_AI_Assignment2_14CO141
Assignment 2: CNN for segmenting and classifying melanoma images using Tensorflow and Keras.
Language: Jupyter Notebook - Size: 115 KB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
