Deep Learning and Image Processing for Cancer Cell Identification
Arasakumaran Umamageswari, S. Deepa, K. Raja · Advances in computational intelligence and robotics book series · 2025
One of the biggest causes of mortality globally is still cancer, and patient outcomes are greatly enhanced by early identification. Conventional cancer detection techniques, such manually analysing samples and medical pictures, are frequently laborious, arbitrary, and susceptible to human error. But the field of health diagnostics, especially cancer detection, has undergone a revolution with the introduction of deep learning, and image processing. The use of deep learning models, specifically Convolutional Neural Networks (CNNs), in combination with image processing methods to detect cancer cells in a variety of imaging modalities, including Computed Tomography (CT) scans, dermatoscopic, histopathology slides, and Magnetic Resonance Images (MRI) scans images, is thoroughly examined in this chapter.