Open access
Sep 2026
An end-to-end deep learning approach for lung nodule segmentation and classification using LN-DETR and deep sequential convolutional harmonic networks.
Detecting lung cancer at an early stage improves survival outcomes, whereas accurate segmentation and classification of lung nodules are fundamental to dependable diagnosis. Classical approaches encounter difficulties, like limited accuracy, data imbalance, and complex feature extraction, emphasizing the need for enhan...
S. Ramani, S. Rajeshkannan, J. Sivakumar
· Computers in Biology and Med... · 0 citations