Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and early-stage diagnosis is critical for improving patient survival rates. This paper presents a hybrid clinical decision support system that integrates a two-phase detection pipeline: a rule-based symptom screening module and a deep learning-driven CT scan analysis module. In the first phase, patients respond to ten clinically validated diagnostic questions; those answering affirmatively to eight or more are flagged as high-risk candidates. In the second phase, the flagged patient uploads a CT scan image which is analyzed by a fine-tuned EfficientNetB3 model pre-trained on ImageNet and further trained on the LIDC-IDRI dataset. The model outputs a malignancy probability score as a percentage, enabling clinicians to assess severity and guide treatment decisions. The proposed system achieves a classification accuracy of 96.4%, with high sensitivity and specificity across benign and malignant categories. A FastAPI-based backend and React frontend provide a responsive clinical interface deployable in low-resource hospital settings. This integrated approach bridges the gap between clinical symptom assessment and radiological AI-assisted diagnosis.
Keywords:
Lung Cancer Detection, Deep Learning, CT Scan Analysis, Transfer Learning, EfficientNet, Symptom Screening, Clinical Decision Support, LIDC-IDRI
Cite Article:
"Smart Scan: A Medical Image Diagnosis and Detection Platform", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b418-b423, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604191.pdf
Downloads:
00041
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator