4 papers
Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis
Doanh Cao Bui, Jin Tae Kwak
Whole Slide Image (WSI) analysis, with its ability to reveal detailed tissue structures in magnified views, plays a crucial role in cancer diagnosis and prognosis. Due to their gig…
Patch Stitching Data Augmentation for Cancer Classification in Pathology Images
Jiamu Wang, Chang-Su Kim, Jin Tae Kwak
Computational pathology, integrating computational methods and digital imaging, has shown to be effective in advancing disease diagnosis and prognosis. In recent years, the develop…
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network
Doanh C. Bui, Jin Tae Kwak
Whole slide image (WSI) classification is a crucial problem for cancer diagnostics in clinics and hospitals. A WSI, acquired at gigapixel size, is commonly tiled into patches and p…
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View
Trinh T. L. Vuong, Doanh C. Bui, Jin Tae Kwak
In this paper, we present our solutions for a spectrum of automation tasks in life-saving intervention procedures within the Trauma THOMPSON (T3) Challenge, encompassing action rec…