Descriptive and Statistical Analysis on the Cancer Patients dataset
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Updated
Jan 13, 2024 - Jupyter Notebook
Descriptive and Statistical Analysis on the Cancer Patients dataset
Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging
Companion for the 2023 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "Geographic Patterns in U.S. Lung Cancer Mortality and Cigarette Smoking"
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
An automated lung cancer detection project.
Mutation Detection in Lung Cancer Cell Lines using CNNs
Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data. Presented in IC2IE and published to IEEE.
Genomic Data Commons Query
Lung Preneoplasia Progression via Pathomics
Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT (MIUA 2022)
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
Elevation and Cancer Incidence
Oxygen-driven tumorigenesis on the interactome
Scripts Used in Lung Cancer Gene Analysis (LUAD + LUSC)
Add a description, image, and links to the lung-cancer topic page so that developers can more easily learn about it.
To associate your repository with the lung-cancer topic, visit your repo's landing page and select "manage topics."