Results 171 to 180 of about 16,808 (228)

Cross-slide augmentation for whole slide image classification based on class activation map. [PDF]

Sci Rep
Chen Y, Wu H, Huang Z, Zhang Z, Cai H.
europepmc   +1 more source

Ensemble transformer-based multiple instance learning for predicting neoadjuvant chemotherapy response from breast cancer biopsy whole-slide images. [PDF]

Front Oncol
Wu Z, Ye K, Weng J, Zhang Z, Liao X, Du K.   +5 more
europepmc   +1 more source

Robust Cell-Level Classification for Liquid-Based Cervical Cytology Using Deep Transfer Learning: A Multi-Source Study Addressing Scanner-Induced Domain Shifts. [PDF]

Bioengineering (Basel)
Coskun G, Akuner MC, Kaplanoglu E.
europepmc   +1 more source

AI-Driven Digital Pathology: Deep Learning and Multimodal Integration for Precision Oncology. [PDF]

Int J Mol Sci
Jang HJ, Lee SH.
europepmc   +1 more source

SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning. [PDF]

Nat Cancer
Gao Z, Mao A, Dong Y, Clayton H, Wu J, Liu J, Wang C, He K, Gong T, Li C, Crispin-Ortuzar M.   +10 more
europepmc   +1 more source

H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation. [PDF]

NPJ Digit Med
Bass C, Ntelemis F, Schmidt J, Wolf S, Geraldes A, Mehrotra D, Singhal S, Kumar N, Marcia A, Bennett N, Maiques O, Hyde M, Mistry B, Rogerson G, Cummings M, Freer C, Walsh E, Salto-Tellez M, Loughrey M, Um IH, Harrison DJ, Clarkson R, Blackwood J, Barrett JC, Kather JN, Orsi NM, Pandya P, Arslan S.   +27 more
europepmc   +1 more source

Large-Scale Histological Image Dataset with Metadata for Colorectal Cancer Microenvironment. [PDF]

Sci Data
Wang H, Li H, Xue J, Jiang Y, Ma K, Du F, Mo G, Li H, Huang Y, Xie H, Meng H, Han P, Lou S.   +12 more
europepmc   +1 more source

Multimodal learning for scalable representation of high-dimensional medical data. [PDF]

Front Digit Health
Alsaafin A, Shafique A, Alfasly S, Kalari KR, Tizhoosh HR.   +4 more
europepmc   +1 more source

Artificial intelligence-based tumor-stroma ratio quantification reveals prognostic value and stromal-driven immunosuppression in colorectal cancer: an international validation study. [PDF]

J Transl Med
Ye H, Zhao K, Cui Y, Li Z, Zhang H, Zhong ME, Fan C, Huang H, Hawkins NJ, Ward RL, Sun XF, Song J, Liu Z, Jonnagaddala J, Tong T, Yao S.   +15 more
europepmc   +1 more source