RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis.

Hyunil Kim¹, Tae-Yeong Kwak¹, Hyeyoon Chang¹, Sun Woo Kim¹, Injung Kim²

¹Deep Bio Inc., Seoul 08380, Republic of Korea.

²School of Computer Science and Electrical Engineering, Handong Global University, Pohang 37554, Republic of Korea.

Abstract

We propose a novel transfer learning framework for pathological image analysis, the Response-based Cross-task Knowledge Distillation (RCKD), which improves the performance of the model by pretraining it on a large unlabeled dataset guided by a high-performance teacher model. RCKD first pretrains a student model to predict the nuclei segmentation results of the teacher model for unlabeled pathologi…

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