Artificial Intelligence in Healthcare

Dermatological image analysis

Brief Description: Dermatology is the branch of medicine dealing with the skin and it is a specialty with both medical and surgical aspects. Dermatological imaging plays a key role in the clinical evaluation of skin lesions. The appearance, morphology, shape, and distributi ...read more...

Digital pathology image analysis

Brief Description: The analysis of histological slides is fundamental for cancer diagnosis and grading, typically performed by an expert pathologist, and this process is becoming more and more complex due to the rise in cancer incidence and patient-specific treatment option ...read more...

Identification of Active Bone Marrow from CT images

Brief Description: A crucial point in radiotherapy is to correctly identify bone marrow (BM) and implement strategies able to selectively spare it, since the radiation dose received by this structure is a predictive factor for hematologic toxicity occurrence. ...read more...

Innovative techniques for ultrasound beamforming

Brief Description: Ultrasound imaging can be effective for analysing pathological and normal tissues, by studying both the structure and texture in B-mode images. The output B-mode image is influenced by several technical aspects during acquisition, such as the probe freque ...read more...

Machine learning for muscle activation patterns identification during cyclical movements

Brief Description: Cyclical movements are characterized by different muscle activation patterns (onset-offset timings). To interpret correctly the electromyographic (EMG) data, it is important to group cycles sharing similar EMG activation patterns. We developed a method ...read more...

Radiomics and AI for CAD Systems development

Brief Description: Radiomics is defined as “process designed to extract a large number of quantitative features from digital images”. Its final aim is to extract hidden information from images that can be useful to develop Computer-Aided Diagnosis (CAD) systems and decision ...read more...

Synthetic image generation using Generative Adversarial Networks (GANs)

Brief Description: In the deep learning era, having access to a large quantity of data is fundamental to build systems with the desired performances and reliability. The medical field is not an exception. Moreover, the added challenges of dealing with sensitive data, follow ...read more...

Ultrasound B-mode image segmentation and radiomics

Brief Description: Ultrasound imaging is widely used in medicine thanks to its many advantages: this versatile imaging technique does not use ionizing radiation, is inexpensive, allows real-time imaging, and is portable, allowing for crucial point-of-care applications. On t ...read more...