Resolution-Based Distillation for Efficient Histology Image Classification

11 January 2021

Papers citing "Resolution-Based Distillation for Efficient Histology Image Classification"

9 / 9 papers shown

Title
Structured Model Pruning for Efficient Inference in Computational Pathology Mohammed Adnan Qinle Ba Nazim Shaikh Shivam Kalra Satarupa Mukherjee A. Lorsakul MedIm 32 1 0 12 Apr 2024
Attention to detail: inter-resolution knowledge distillation Rocío del Amor Julio Silva-Rodríguez Adrián Colomer Valery Naranjo 20 0 0 11 Jan 2024
Improving Representation Learning for Histopathologic Images with Cluster Constraints Weiyi Wu Chongyang Gao Joseph DiPalma Soroush Vosoughi Saeed Hassanpour 25 3 0 18 Oct 2023
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis T. Vuong J. T. Kwak 28 6 0 31 Aug 2023
Masked Pre-Training of Transformers for Histology Image Analysis Shuai Jiang Liesbeth Hondelink A. Suriawinata Saeed Hassanpour MedIm 16 13 0 14 Apr 2023
More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data Lucas Farndale R. Insall Ke Yuan 21 3 0 19 Mar 2023
Patch Gradient Descent: Training Neural Networks on Very Large Images D. K. Gupta Gowreesh Mago Arnav Chavan Dilip K. Prasad 14 2 0 31 Jan 2023
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images Tingting Zheng Weixing Chen Shuqin Li Hao Quan Qun Bai Tianhang Nan S. Zheng Xin Gao Yue Zhao Xiaoyu Cui MedIm 23 1 0 05 May 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 14 2 0 30 Mar 2022