Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification

no code implementations • 19 Mar 2024 • Yi Lin, Zhengjie ZHU, Kwang-Ting Cheng, Hao Chen

To address this issue, we propose PAMT, a novel Prompt-guided Adaptive Model Transformation framework that enhances MIL classification performance by seamlessly adapting pre-trained models to the specific characteristics of histopathology data.

Image Classification Multiple Instance Learning +1

Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning

no code implementations • 23 Mar 2023 • Yi Lin, Zhongchen Zhao, Zhengjie ZHU, Lisheng Wang, Kwang-Ting Cheng, Hao Chen

Multiple instance learning (MIL) has emerged as a popular method for classifying histopathology whole slide images (WSIs).

Image Classification Multiple Instance Learning +1