Artificial Intelligence in Cancer Diagnosis and Prognosis: Lung and kidney cancer

Focusing heavily on the application of machine learning (ML) and deep learning (DL) in the diagnosis, prognosis, and survival analysis of lung and renal (kidney) cell carcinoma. Several chapters detail novel algorithms, such as the CPL–BNNM algorithm for lung contour detection and the DeepMultiSurv model for multiview survival prediction, alongside discussions of common diagnostic imaging modalities like CT, MRI, and chest radiography. The sources also cover fundamental ML concepts, including the architecture of Convolutional Neural Networks (CNNs), the challenges of small medical datasets, and the importance of various quantitative evaluation metrics (e.g., Dice coefficient, accuracy, and AUC) used to assess model performance in these critical medical applications.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/medicine_made_simpleProduced by:https://www.podcaistudio.com/