benign-vs-malignant

There are 0 repository under benign-vs-malignant topic.

cridin1 / malware-classification-CNN
This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs).
benign-vs-malignant cnn-tensorflow deep-learning keras-tensorflow malimg-dataset malware malware-classification malware-detection pe-executable
Language:Jupyter Notebook 8
officialpm / Breast-Cancer-Wisconsin-Diagnostic
Prediction of Benign or Malignant Cancer Tumors
benign-vs-malignant cancer breast-cancer breast-cancer-wisconsin breast-cancer-prediction breastcancer-classification uci-machine-learning
Language:Jupyter Notebook 4
MehakArora / Segmentation-of-tumours-in-Pleural-Effusions
Semi-automatic Segmentation and Classification of Cell Clusters in a Pleural Effusion
gabor-feature-extraction computer-vision image-processing semi-automatic benign-vs-malignant
Language:Jupyter Notebook 3
a-wish / Polyp-Classification-and-Clustering
Polyp Classification and Clustering from Endoscopic Images using Competitive and Convolutional Neural Networks
polyp classification deep-learning machine-learning benign-vs-malignant clustering self-organizing-map medical-imaging competetive-neural-networks neural-network
Language:Python 2
a-wish / Polyp-Classification-using-CNN
Polyp-Classification-using-CNN
cnn neural polyp-detection neural-network benign-vs-malignant
Language:Python 1
Abhinavy789 / Breast-Cancer-Detection
Breast Cancer Detection using Machine Learning
accuracy accuracy-metrics benign-vs-malignant breast-cancer-classification machine-learning
Language:Jupyter Notebook 1
pranavtumkur / Predicting-Cancer-using-Support-Vector-Machines
We use SVM (Support Vector Machines) to build and train a model using human cell records, and classify cells to whether the samples are benign or malignant.
benign-vs-malignant cancer-detection confusion-matrix machine-learning scikit-learn support-vector-machines svm
Language:Jupyter Notebook
prashantjadiya / WebsiteClassification
I have created a classifier to classify website, whether it is benign or Malicious with using the CRISP DM concepts in it. Additionally I wrote blog on it https://medium.com/@prashantjadiya/process-of-classifying-malicious-and-benign-websites-815cc2b42435.
benign-vs-malignant classifier crisp-dm-concepts dataset malicious-url-detection notebook website
Language:Jupyter Notebook
PrathamLearnsToCode / Patch_Tumor_Breast_Cancer_Classification
Designing an Image Classification Algorithm to classify an Image Patch into Malignant and Benign.
benign-vs-malignant classification classification-algorithm cnn convolutional-neural-networks coordinates keras patch transfer-learning xlsx
Language:Jupyter Notebook