New imaging method tracks cancer from whole body to individual cells

One of the biggest challenges in cancer research has been linking the "big picture" seen in medical scans with the ...
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.
IEEE

Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images

Abstract: Lung cancer remains among the deadliest types of cancer in recent decades, and early lung nodule detection is crucial for improving patient outcomes. The limited availability of annotated ...
thorax.bmj

Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches

The goal of the current study was to perform quantitative image analysis and evaluate the predictive performance of high-dimensional radiomic features for pulmonary nodule malignancy assessment, and ...
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 ...
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 ...
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 ...
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 ...
Frontiers

Causal Inference in Radiomics: Framework, Mechanisms, and Algorithms

The widespread use of machine learning algorithms in radiomics has led to a proliferation of flexible prognostic models for clinical outcomes. However, a limitation of these techniques is their ...