Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach.

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Bibliographic Details
Title: Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach.
Authors: Agrawal VL; HVPM's COET, Amravati, India., Agrawal T; Shri Vasantrao Naik Government Medical College, Yavatmal, India.; Sujan Surgical Cancer Hospital & Amravati Cancer Foundation, Amravati, India., Ghose A; Barts Cancer Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, U.K.; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, U.K.; European Interdisciplinary Society for AI in Cancer Research, Milan, Italy., Adeleke S; Cancer Centre at Guy's, Guy's and St Thomas' NHS Foundation Trust, London, U.K.; Department of Cancer Imaging, School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, U.K., Boussios S; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, U.K.; Department of Medical Oncology, Ioannina University Hospital, Ioannina, Greece.; Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece.; AELIA Organization, Thessaloniki, Greece.; Kent and Medway Medical School, University of Kent, Canterbury, U.K.; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, Canterbury, U.K.; School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, U.K., Arora RS; Sujan Surgical Cancer Hospital & Amravati Cancer Foundation, Amravati, India.
Source: Cancer diagnosis & prognosis [Cancer Diagn Progn] 2026 Mar 01; Vol. 6 (2), pp. 199-213. Date of Electronic Publication: 2026 Mar 01 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: International Institute of Anticancer Research Country of Publication: Greece NLM ID: 9918316186306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2732-7787 (Electronic) Linking ISSN: 27327787 NLM ISO Abbreviation: Cancer Diagn Progn Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2732-7787
DOI:10.21873/cdp.10519