13 citations · 19 across the 3 of their papers we have counts for
3 papers · 1 filter
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
Khoa Tuan Nguyen, Ho-min Park, Gaeun Oh +2
We propose a novel approach to cervical cell image classification for cervical cancer screening using the EVA-02 transformer model. We developed a four-step pipeline: fine-tuning E…
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak, Hyun Jung Lee, Beril Boga +5
Although supervised learning has been highly successful in improving the state-of-the-art in the domain of image-based computer vision in the past, the margin of improvement has di…
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning
Mijung Kim, Olivier Janssens, Ho-min Park +3
Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment. Current diagnosis of glaucoma is performed by ophthalmologists who are often ana…