Explainable AI for Lung Cancer Classification: A Deep Learning Framework
Research#Healthcare AI🔬 Research|Analyzed: Jan 10, 2026 13:23•
Published: Dec 3, 2025 01:48
•1 min read
•ArXivAnalysis
This research explores a hybrid approach combining DenseNet169 and SVM for lung cancer classification, a potentially valuable application of AI in healthcare. The explainable AI component enhances the trustworthiness and usability of the model by providing insights into its decision-making process.
Key Takeaways
- •The paper focuses on a specific medical application of AI: lung cancer classification.
- •The approach combines a convolutional neural network (DenseNet169) with a Support Vector Machine (SVM).
- •The inclusion of explainable AI is a key feature, promoting transparency in the model's predictions.
Reference / Citation
View Original"The study utilizes a hybrid deep learning framework."