Lung Cancer detection using Deep Learning
arXiv:2501.07197v1h-index: 2
Originality Synthesis-oriented
AI Analysis
This work addresses early lung cancer detection for medical diagnosis, but it appears incremental as it combines existing methods without clear novel advancements.
The paper tackles lung cancer detection by developing a hybrid model combining CNNs and SVMs trained on CT scans to identify tumors early, achieving unspecified results without concrete numbers.
In this paper we discuss lung cancer detection using hybrid model of Convolutional-Neural-Networks (CNNs) and Support-Vector-Machines-(SVMs) in order to gain early detection of tumors, benign or malignant. The work uses this hybrid model by training upon the Computed Tomography scans (CT scans) as dataset. Using deep learning for detecting lung cancer early is a cutting-edge method.