Artificial Intelligence in Cancer Diagnosis and Prognosis: Breast and bladder cancer

Focusing specifically on applications for breast and bladder cancer. The sources offer an in-depth review of computational techniques, primarily machine learning (ML) and deep learning (DL), used for tasks such as image classification, segmentation, and feature extraction for both cancer types. Several chapters discuss specific DL architectures, like Convolutional Neural Networks (CNNs), in modalities ranging from mammography and ultrasound to photoacoustic imaging and histopathological analysis. The volume also examines metabolomic analysis for bladder cancer, single-cell studies for breast cancer heterogeneity, and the challenges of data management and algorithm generalizability in clinical settings.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/