This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs).

Prediction of Benign or Malignant Cancer Tumors

Semi-automatic Segmentation and Classification of Cell Clusters in a Pleural Effusion

Polyp Classification and Clustering from Endoscopic Images using Competitive and Convolutional Neural Networks

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.

Polyp-Classification-using-CNN

Breast Cancer Detection using Machine Learning

Code for classification of cancerous vs. benign oral lesions using machine learning

Designing an Image Classification Algorithm to classify an Image Patch into Malignant and Benign.

The ML-based Breast Cancer Prediction Model classifies breast tumors as benign or malignant by analyzing key medical features from biopsy data. It offers healthcare professionals a reliable tool for diagnosis and treatment, showcasing the power of AI in healthcare with a focus on precision in detecting malignant tumors to improve patient outcomes.

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.