April 30, 2026 article Open access A deep learning lung cancer segmentation pipeline to facilitate CT-based radiomics Clinical Radiology DOI: 10.1016/j.crad.2026.107375 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Calculating the sample size required for developing a clinical prediction model 2020 BMJ article Mathematics Statistical Methods in Epidemiology Open access 2,902 citations Automated detection and segmentation of non-small cell lung cancer computed tomography images 2022 Nature Communications article Computer Science Medical Image Segmentation Techniques Open access 146 citations Radiomics feature reproducibility under inter-rater variability in segmentations of CT images 2020 Scientific Reports article Medicine Radiomics and Machine Learning in Medical Imaging Open access cited by 1 patent 136 citations Next-generation lung cancer pathology: Development and validation of diagnostic and prognostic algorithms 2024 Cell Reports Medicine article Computer Science AI in cancer detection Open access cited by 1 patent 29 citations 4 results