Risk-based strategies superior to US Preventive Services Task Force criteria for lung cancer screening

Risk-based strategies are superior to the U.S. Preventive Services Task Force (USPSTF) criteria for optimizing efficiency and ...
IEEE

Transformer-Based Hierarchical Model for Non-Small Cell Lung Cancer Detection and Classification

Abstract: Lung cancer is the leading cause of cancer-related deaths worldwide. Early diagnosis significantly improves the 5-year survival rate from 6% in patients with metastatic cancer to 60% in ...
IEEE

Attention-ResUNet and EfficientSASM-UNet: UNet-Based Frameworks for Lung and Nodule Segmentation

Abstract: Lung cancer has been one of the major threats across the world, with the highest mortalities. Computer-aided detection (CAD) can aid early detection and thus increase the survival rate.
Frontiers

Precision lung cancer screening from CT scans using a VGG16-based convolutional neural network

Based on the health medical big data platform of Shandong University, we developed a VGG16-Based CNN lung cancer screening model. This model was trained using the Computed Tomography scans data of ...
ascopubs.org

Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...
GitHub

Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".

Lung cancer is the most common cancer in the world. More people die as a result of lung cancer each year than from breast, colorectal, and prostate cancer combined. Lung nodule detection is an ...
The Lancet

A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules

cDepartment of Respiratory Medicine, Charing Cross Hospital, Imperial College Healthcare Trust, Fulham Palace Road, London, W6 8RF, UK dDepartment of Respiratory Medicine, University College London ...
ascopubs.org

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

Cosmetic Results and Side Effects of Accelerated Partial-Breast Irradiation Versus Whole-Breast Irradiation for Low-Risk Invasive Carcinoma of the Breast: The Randomized Phase III IRMA Trial We ...
GitHub

Thoracic CT-based Body Composition Analysis with Semantically Extended FOV

This repository provides instructions for the body composition assessment tool described in paper "AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection" published in ...
Frontiers

Open-Source Biomedical Image Analysis Models: A Meta-Analysis and Continuous Survey

Open-source research software has proven indispensable in modern biomedical image analysis. A multitude of open-source platforms drive image analysis pipelines and help disseminate novel analytical ...