Artificial Intelligence for Biomedicine and Healthcare

Biological and diagnostic imaging and image analysis

Biological and diagnostic imaging and image analysis

Academic year 2024/2025

Sommario del corso

• Course objectives
• Results of learning outcomes
• Program
• Course delivery
• Learning assessment methods
• Teaching Modules
• Teaching tools
• Course card

Course objectives

The Biological and diagnostic imaging and image analysis course is integrated into the Artificial Intelligence for Biomedicine and Healthcare degree course with the aim of training students in the -omics of biological and radiological images (the latter as in vivo signals of the interaction between energies and biological tissues); the techniques for generating and "profiling" images and for analyzing and managing the data extracted from them will be taught.

Results of learning outcomes

At the end of the course, the student must be able to:

(knowledge and understanding)

understand and know the physical principles and the functioning of the equipment that generates microscopic and radiological images; the computerized management of diagnostic images and texts that describe them (including some standardization of descriptors in radiology, e.g. RADS); the techniques of pre-processing and enhancement of biomedical images and the use of machine learning applied to them;

(applying knowledge and understanding)

apply the skills described above in laboratory activities integrated into the teaching offer of each module, with a view to professional use;

(making judgements)

have critical tools to independently judge the quality of the images, the extracted data and consequently the analyses carried out;

(communication skills)

communicate information, ideas, problems and solutions to potential interlocutors of one's own or other professions interested in the analysis of biomedical images and the data extracted from them;

(learning skills)

undertake further studies with a high degree of autonomy.

Program

All the details regarding the program are available in the Program section of each Teaching Module, under the responsibility of the relevant teacher.

Course delivery

All the details regarding the delivery of the modular courses are available in the Course delivery section of each Teaching Module.

Learning assessment methods

The learning assessment tests can be written and/or oral. More details about the method of each Teaching Module can be find at the relative sections. An average of the marks will be calculated at the official date of the exam, also according to the number of credits of each module.

Teaching Modules

• ONC0261A Machine learning for biomedical image processing (ONC0261A)
• ONC0261B Biochemical and physical principles of cellular imaging (ONC0261B)
• ONC0261C Fundamentals of diagnostic imaging and clinical applications (ONC0261C)
• ONC0261D Artificial intelligence applied to diagnostic imaging and reporting systems (ONC0261D)

• Teaching material
• Exams and finals
• Class schedule
• Go to Moodle
• Register for the course
• Enrolled students
• Invia email agli studenti registrati
• Export table