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...
| 出版年: | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY |
|---|---|
| 主要な著者: | , , , , , , |
| フォーマット: | Article; Early Access |
| 言語: | English |
| 出版事項: |
SPRINGER SINGAPORE PTE LTD
2025
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001438966000001 |