mdai / kaggle-lung-cancer

Related projects: ⓘ

• anlthms / dsb-2017
  Data Science Bowl 2017
  ☆80Updated 7 years ago
• Wrosinski / Kaggle-DSB
  Data Science Bowl 2017 Competition
  ☆34Updated 7 years ago
• rdcolema / dsb
  Kaggle Data Science Bowl 2017 - Detecting Lung Cancer From DICOM Scans
  ☆21Updated 7 years ago
• owkin / DSB2017
  Data Science Bowl 2017 : Lung Cancer Detection
  ☆44Updated 7 years ago
• khcs / brain-synthesis-lesion-segmentation
  ☆69Updated this week
• delira-dev / delira
  Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
  ☆220Updated 3 years ago
• scottykwok / cervix-roi-segmentation-by-unet
  ☆34Updated 7 years ago
• sincewhenUCLA / Lung-Nodule-Detection
  ☆27Updated 8 years ago
• ncullen93 / Unet-ants
  UNet deep learning model for medical image segmentation
  ☆47Updated 11 months ago
• smopart / lung_nodule
  ☆48Updated 6 years ago
• taki0112 / CASED-Tensorflow
  Simple Tensorflow implementation of "Curriculum Adaptive Sampling for Extreme Data Imbalance" with multi GPU using LUNA16 (MICCAI 2017) /…
  ☆61Updated 6 years ago
• hengck23-kaggle / lung_cancer_2017
  ☆59Updated this week
• ecobost / cnn4brca
  Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis
  ☆75Updated 7 years ago
• mohamed-ezz / saratan
  Code for MICCAI 2016 paper : Automatic liver and lesions segmentation using Cascaded Fully Convolutional Neural Networks and 3D Condition…
  ☆39Updated 4 years ago
• EliasVansteenkiste / dsb3
  A deep learning framework for lung cancer prediction built with Lasagne/Theano
  ☆66Updated 7 years ago
• intact-project / LungNet
  This is supplementary material for the manuscript: "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Ne…
  ☆29Updated 6 years ago
• denti / AlexNet3D
  This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).
  ☆43Updated 6 years ago
• choosehappy / public
  ☆77Updated last month
• DLTK / models
  DLTK Model Zoo
  ☆114Updated 6 years ago
• mpsampat / DSB_2018_Parameter_Selection_For_Matterport_Mask_RCNN
  ☆28Updated 5 years ago
• wentaozhu / adversarial-deep-structural-networks
  ISBI2018: Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970
  ☆51Updated 2 years ago
• snakers4 / ds_bowl_2018
  Kaggle Data Science Bowl 2018
  ☆118Updated 6 years ago
• yulequan / HeartSeg
  code of DenseVoxNet and 3D-DSN
  ☆87Updated 7 years ago
• Oulu-IMEDS / DeepKnee
  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
  ☆64Updated 7 months ago
• sacmehta / WSISegmentation
  Segmenting WSIs using Deep Convolutional Neural Networks
  ☆18Updated 6 years ago
• holgerroth / 3Dunet_abdomen_cascade
  ☆102Updated 5 years ago
• alexander-rakhlin / ICIAR2018
  Our solution for ICIAR 2018 Grand Challenge
  ☆192Updated 3 years ago
• curiale / Medical-Image-Analysis-IPython-Tutorials
  ☆38Updated this week
• junyanz / MCILBoost
  a boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost
  ☆29Updated 4 years ago
• tschaffter / dm-docker
  Base and example Docker images for the Digital Mammography DREAM Challenge
  ☆15Updated 7 years ago