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Evaluation Of A Prototype Deep Learning-Based Autosegmentation Algorithm On A High Quality Database Of Head And Neck Cancer Radiotherapy Patients, Jihye Koo

USF Tampa Graduate Theses and Dissertations

This dissertation is devoted to the study of deep learning-based autosegmentation in head and neck radiotherapy. Much of the work presented here is motivated by the need to introduce a clinically useful autosegmentation model for head and neck organs at risk, with the aim of reducing inter-observer variation in structure segmentation and enhancing time efficiency of the treatment planning process. This dissertation describes autosegmentation approaches, introduces a prototype deep learning-based autosegmentation algorithm trained with carefully curated local gold data, and presents a series of comprehensive evaluations to verify the feasibility of implementing the prototype model in clinical settings.

One of …

Artificial Intelligence, Basic Skills, And Quantitative Literacy, Gizem Karaali

Numeracy

The introduction in November 2022 of ChatGPT, a freely available language-based artificial intelligence, has led to concerns among some educators about the feasibility and benefits of teaching basic writing and critical thinking skills to students in the context of easily accessed, AI-based cheating mechanisms. As of now, ChatGPT can write pretty convincing student-level prose, but it is still not very good at answering quantitatively rich questions. Therefore, for the time being, the preceding concerns may not be shared by a large portion of the numeracy education community. However, as Google and WolframAlpha are definitely capable of answering standard and some …