This course will introduce students to digital pathology and how it is used in research and in clinical diagnosis. Students will learn the basics of whole slide imaging (WSI), tissue microarrays (TMAs), files and formats and analysis including weighted histoscoring and point scoring.

Teaching takes place over 5 weeks in Semester 1 with students attending lectures, seminars, practical skills workshops and tutorials.

None

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Critical review (2000 words) (75% weighting). ILO1 - 4

Oral group presentation (25% weighting) ILO1, 2

The aim of this course is to:

■ Understand core areas of digital pathology and image analysis including machine learning, WSI, file formats and running analysis. 

■ Acquire knowledge in the applications and limitations of different digital pathology platforms

■ Understand regulations surrounding use of digital pathology platforms

By the end of this course students will be able to:

1. Critically evaluate the uses and limitations of tissue slide scanning platforms.

2. Critically evaluate the uses and limitations of digital pathology software.

3. Demonstrate critical understanding of digital pathology and image analysis software including viewing, annotating, and identifying relevant tissue.

4. Critically discuss regulations surrounding GDPR and ethical considerations in digital pathology.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.