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Supplementary Figure S2 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology
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Supplementary Figure S2 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology
Supplementary Figure S2 from A Magnification Alignment Framework Enables Computation- and Communication-Efficient Computational Pathology
Authors:
CH
Chu Han
Chu Han
BZ
Bingchao Zhao
Bingchao Zhao
TD
Tianpeng Deng
Tianpeng Deng
JH
Jingqi Huang
Jingqi Huang
FL
Fangfang Liu
Fangfang Liu
JL
Jiatai Lin
Jiatai Lin
SL
Shanshan Lyu
Shanshan Lyu
LW
Longfei Wang
Longfei Wang
Cheng Lu
Cheng Lu
CL
Changhong Liang
Changhong Liang
HW
Hannah Y. Wen
Hannah Y. Wen
ZS
Zhenwei Shi
Zhenwei Shi
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18 June 2026
other
Published by
American Association for Cancer Research (AACR)
DOI:
10.1158/0008-5472.32730907
Abstract
Classification performance, computational efficiency, and storage burden (5× versus 20×, TCGA-Glioma)
Keywords
ENABLES COMPUTATION
SUPPLEMENTARY FIGURE
MAGNIFICATION ALIGNMENT
ALIGNMENT FRAMEWORK
FRAMEWORK ENABLES
PATHOLOGY CLASSIFICATION
CLASSIFICATION PERFORMANCE
COMPUTATIONAL PATHOLOGY
COMPUTATIONAL EFFICIENCY
STORAGE BURDEN
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