Lung Cancer Detection using CT Scans.

Custom Efficient Neural Network For Histopathological Lung Cancer Classification

This is a WebApp, which detects lung diseases with integrated stripe payment processing.

lung cancer prediction using naive bayes but without using in build function. This paper presents a novel predictive model employing Naive Bayes classification, trained on comprehensive patient data encompassing 23 attributes like Alcohol use, Smoking, Coughing of Blood, and shortness of breath etc. Our model demonstrates significant promise

This project is an end-to-end deep learning pipeline for lung cancer detection using 3D CT scan data.

Term Project on LIDC (Lung Cancer CT Scan) dataset

Lung Nodules Detection using Deep Learning

Code release for the paper B. Shirokikh, A. Shevtsov et al. "Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization"

LUng CAncer Screeningwith Multimodal Biomarkers

PulmoCheck is a Streamlit application designed to help users assess the risk factors associated with lung cancer based on various symptoms and patient data. This app provides tools for predictive modeling, symptom analysis, risk factor assessment, and patient profile viewing.

Analyses the lung cancer among the various parameter's of the patient.

This project aims to predict lung cancer using Multiple Linear Regression and Logistic Regression algorithms. By analyzing various factors, such as patient demographics, lifestyle habits, and medical history, the algorithms predict the likelihood of a patient developing lung cancer.

Lung Cancer Prediction Model: Leverage the power of deep learning with this TensorFlow-based project. Trained on a dataset of lung X-Ray images, the model accurately predicts cancer cases. Easily integrate and utilize the model for early detection. #HealthTech #MachineLearning

This is the final project of the ML-Ops Dicoding class. This project serves to predict whether a person has lung cancer or not.

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.

Tumor Detection using Machine Vision in Python

Virtual medical assistant for lung cancer detection using Machine Learning algorithm- Random Forest classifier.