LUNG CANCER DETECTION FROM CT IMAGES: LEVERAGING MEDICAL IMAGING TECHNIQUES FOR ACCURATE DIAGNOSIS
DOI:
https://doi.org/10.48047/Keywords:
Lung Cancer Diagnostics, Deep Learning, Chest X-Ray, Magnetic Resonance Imaging,Abstract
Diagnostics for lung cancer in its early stages and therapy monitoring for lung cancer depend heavily on medical imaging technologies. For the purpose of detecting lung cancer, a number of medical imaging modalities, including computed tomography, magnetic resonance imaging, positron emission tomography, chest X-ray, and molecular imaging approaches, have been thoroughly examined. Some of the disadvantages of these systems include their inability to automatically categorize cancer images, making them inappropriate for use in patients with other illnesses.
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