notesum.ai

Published at November 22

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency

eess.IV

cs.CV

q-bio.QM

Released Date: November 22, 2024

Authors: Wentao Huang¹, Meilong Xu¹, Xiaoling Hu², Shahira Abousamra³, Aniruddha Ganguly¹, Saarthak Kapse¹, Alisa Yurovsky¹, Prateek Prasanna¹, Tahsin Kurc¹, Joel Saltz¹, Michael L. Miller⁴, Chao Chen¹

Aff.: ¹Stony Brook University, NY, USA; ²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA; ³Department of Biomedical Data Science, Stanford University, CA, USA; ⁴Department of Pathology and Cell Biology, Columbia University, NY, USA

Arxiv: http://arxiv.org/abs/2411.15076v1

Image Encoder	Breast-ST1			Breast-ST2			Lung-ST
Image Encoder	MAE $\downarrow$	MSE $\downarrow$	PCC $\uparrow$	MAE $\downarrow$	MSE $\downarrow$	PCC $\uparrow$	MAE $\downarrow$	MSE $\downarrow$	PCC $\uparrow$
ResNet-50 [23]	0.3633	0.2716	0.0867	0.4042	0.2982	0.1265	0.3105	0.2043	0.0345
CTransPath [70]	0.3572	0.2698	0.0983	0.3994	0.2957	0.1423	0.2945	0.1911	0.0395
UNI [15]	0.3559	0.2648	0.1063	0.4096	0.3178	0.1398	0.2731	0.1724	0.0432
HEST-FT [30]	0.3469	0.2552	0.1269	0.4071	0.3079	0.1592	0.2926	0.1874	0.0682
BLEEP [73]	0.3475	0.2571	0.1198	0.3982	0.2954	0.1437	0.2879	0.1806	0.0751
RankByGene	0.3412	0.2487	0.1803	0.3964	0.2927	0.1762	0.2662	0.1677	0.1019