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eess.IV2023
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis
Trinh Thi Le Vuong, Jin Tae Kwak
There is no doubt that advanced artificial intelligence models and high quality data are the keys to success in developing computational pathology tools. Although the overall volum…
eess.IV2022
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets
Tan Nhu Nhat Doan, Kyungeun Kim, Boram Song +1
An automated segmentation and classification of nuclei is an essential task in digital pathology. The current deep learning-based approaches require a vast amount of annotated data…