In the imaging category, the book unveils a pioneering technique based on radio tomosynthesis. Initially proven effective in detecting breast anomalies, this imaging method is now under evaluation for its potential in identifying brain anomalies. For non-imaging diagnostics, it delves into Fourier-transform infrared spectroscopy (FTIR), a technique known for its speed and reliability. The book demonstrates its successful application in diagnosing a range of cancers, including oral, uterine, ovarian, gastrointestinal, colorectal, and skin cancers. Furthermore, it explores its utility in predicting embryo quality and assessing pressure injuries. To augment these methods, the book employs machine learning algorithms, evaluating their efficacy in creating discriminative models for tissue anomalies.
Ben-Zion Dekel, PhD (2002), serves as a senior lecturer within the Faculty of Engineering at the Academic Center Ruppin, Israel. He received his doctorate from the Department of Electrical Engineering, Tel Aviv University, Israel. He has worked for Israel Aerospace Industries Ltd. in the MLM Division, focusing on electro-optical applications, including physical imaging models and small satellite architecture. His current research activities are primarily centered around Fourier transform infrared spectroscopy, integrated with machine learning, aimed at biomedical applications.