prostate-cancer-biopsies

There are 0 repository under prostate-cancer-biopsies topic.

• pimed / SPCNet

  TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".

  prostate-cancer-detectionprostate-segmentationprostateprostate-cancermri-segmentationlesion-detectionspcnetprostate-cancer-biopsies
  Language:Python 9

• MicheleDamian / prostate-gleason-dataset

  A database of 70K patches extracted from prostate cancer biopsies and labeled by Gleason score.

  gleason-scoreprostate-cancer-biopsiesdatasetcomputer-visiondeep-learning
  3

• hasansust32 / Prostate_Cancer_Predictio

  His study addresses these concerns by predicting prostate cancer using six (6) machine learningtechniques: Random Forest, SVM, KNN, Logistic Regression, Neutral Network, and the Ensemble model. We gathered data from 100 patients who were placed in ten different circumstances. The data was categorised as malignant or non-cancerous. Among the six machine learning techniques, logistic regression, neuralnetworks, and ensemble learning have the potential to reach an accuracy of 95.00 percent. Ensemble learning can detect 96.55%of true positive prostate cancer in our model. KNN has a 90%accuracy rate, whereas SVM and Random Forest have an 85%accuracy rate.

  prostate-cancerprostate-cancer-detectionhealthcarecancer-detectioncancer-researchprostate-cancer-biopsiesmachinelearning-python
  Language:Jupyter Notebook 2