Artificial Intelligence and Machine Learning for Digital Pathology

Discover the transformative potential of technology in healthcare with Artificial Intelligence and Machine Learning for Digital Pathology by Andreas Holzinger. Published in 2020 by Springer Nature Switzerland AG, this insightful paperback spans 341 pages and delves into the critical challenges faced in the realm of digital pathology. The book addresses the need for biobanks that offer "fit-for-purpose" samples, the importance of quality-related metadata, and the necessity of accessing standardized medical data and annotations. It also explores the complexities of mass scanning whole slides and implementing efficient data management solutions. This essential read is perfect for professionals and researchers looking to enhance their understanding of AI and machine learning applications in pathology. Equip yourself with the knowledge to navigate the evolving landscape of digital health.