Comparative Analysis of Hybrid 1D-CNN-LSTM and VGG16-1D-LSTM for Lung Lesion Classification

Comparative Analysis of Hybrid 1D-CNN-LSTM and VGG16-1D-LSTM for Lung Lesion Classification

Lung cancer accounts for approximately 20% of cancer deaths and is the second most common cancer among men and women, with an average age of diagnosis of 70 years. Early and accurate detection is crucial for improving patient outcomes through timely intervention and treatment. Enhancing lesion chara...

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Bibliographic Details
Published in:JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Main Authors: Jafery, Nurul Najiha; Sulaiman, Siti Noraini; Osman, Muhammad Khusairi; Karim, Noor Khairiah Abdul; Soh, Zainal Hisham Che; Isa, Nor Ashidi Mat
Format: Article; Early Access
Language:English
Published: SPRINGER SINGAPORE PTE LTD 2025
Subjects:
Engineering
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001438966000001

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