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Computing Taster webinar - The University of Buckingham

This event has now finished
This webinar will illustrate how the Buckingham degree programmes provide a unique grounding in developing the knowledge and skills you will require to begin a successful career in Computing. Our offer is unique because of our tutorial teaching model and flexibility of study with two entry points and a chance to finish your degree in as little as two years! Our degrees are accredited by the British Computing Society (BCS) and include opportunities to engage in real-world work experience.

At a taster webinar, you will meet a member of the academic team who will explain these aspects of our offer and more. There will an opportunity for you to ask questions to both current students and academic staff via online chat.

Opening times

4 October 2025 - 11:00 to 12:00


The title of this talk will be "Using AI for Medical Image Analysis for Assisting Cancer Diagnosis".

The Abstract is as follows:

Artificial Intelligence (AI) and Machine Learning, especially deep learning, have significantly influenced a wide range of fields, including Medical Image Analysis. Techniques like convolutional neural networks and transformers enable AI to extract meaningful features from medical images such as MRI, ultrasound, CT scans, and X-rays, allowing the development of highly accurate diagnostic models. In recent years, these AI-driven systems have shown great effectiveness in detecting various types of cancer at early stages, achieving diagnostic performance comparable to that of human specialists. By supporting clinicians with faster and more precise diagnoses, these tools contribute to timely and more effective treatments, ultimately enhancing patient outcomes and quality of life.

This is a live online event. To attend please register to receive a link to this event. A recording will be available on request following the event.

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At this taster webinar, you will meet a member of the law academic team who will explain these aspects of our offer, and more. There will also be an opportunity to ask questions to an academic and a current student, via online chat.

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