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Enhancing Health Tweet Classification: An Evaluation Of Transformer-Based Models For Comprehensive Analysis, Foram Pankajbhai Patel
Enhancing Health Tweet Classification: An Evaluation Of Transformer-Based Models For Comprehensive Analysis, Foram Pankajbhai Patel
Computer Science and Engineering Theses
The task of health tweet classification entails identifying whether a given tweet is health-related or not. While existing research in this area has made significant progress in classifying tweets into specific sub-domains of health, such as mental health, COVID-19, or specific diseases, there is a need for a more comprehensive approach that considers a broader range of health-related topics. This thesis addresses this need by proposing a diverse and comprehensive dataset that includes various existing health-related datasets, data collected through a keyword-based approach, and manually annotated data. However, the use of health-related keywords in a figurative or non-health context poses …
A Deep Learning Based Pipeline For Metastatic Breast Cancer Classification From Whole Slide Images (Wsi), Arjun Punabhai Vekariya
A Deep Learning Based Pipeline For Metastatic Breast Cancer Classification From Whole Slide Images (Wsi), Arjun Punabhai Vekariya
Computer Science and Engineering Theses
Pathology is a 150-year-old medical specialty that has seen a paradigm shift over the past few years with the advent of Digital Pathology. Digital Pathology is a very promising approach to diagnostic medicine to accomplish better, faster and cheaper diagnosis, prognosis and prediction of cancer and other important diseases. Historical approaches in Digital Pathology have focused primarily on low-level image analysis tasks (e.g., color normalization, nuclear segmentation, and feature extraction) hence they are not generalized, thus not useful for practical use in clinical practices. In this thesis, a general Deep Learning based classification pipeline for identifying cancer metastases from histological …