Descriptive and Statistical Analysis on the Cancer Patients dataset

Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging

Tool for the annotation of PET-CT images in 3D Slicer. Based on MONAILabel. Paper: Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues

Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data. Presented in IC2IE and published to IEEE.

Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT (MIUA 2022)

EasyNodule is a software made to help clinicinas to classify Lung Cancer. This will help in elaborating a traitement for the patient which will reduce the progress of the cancer which considered the most killer cancer in the world.

Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.

Oxygen-driven tumorigenesis on the interactome

Scripts Used in Lung Cancer Gene Analysis (LUAD + LUSC)

Companion for the 2023 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "Geographic Patterns in U.S. Lung Cancer Mortality and Cigarette Smoking"

Mutation Detection in Lung Cancer Cell Lines using CNNs

Genomic Data Commons Query

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

Lung Preneoplasia Progression via Pathomics

This project conducts spatial analysis on lung cancer tissue using Scanpy and data from 10x Genomics, focusing on preprocessing, quality control, and functional analysis of spatially variable genes. Insights into the molecular heterogeneity of lung cancer are uncovered, highlighting regions of interest for further research.