Results 131 to 140 of about 2,185 (196)

Self-supervised learning for data augmentation in histopathology image segmentation. [PDF]

Sci Rep
Almubarak HA.
europepmc   +1 more source

Artificial intelligence in digital pathology diagnosis and analysis: Technologies, clinical integration, and future prospects (Review). [PDF]

Biomed Rep
Alhejaily AM, Alghamdi D.
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

A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images. [PDF]

Eng Appl Artif Intell
Fan Z, Zhang C, Sun L, Thorstad W, Gay H, Wang X, Li H.   +6 more
europepmc   +1 more source

Plug-and-play computational method for advancing natural and biomedical image representation. [PDF]

Patterns (N Y)
Gong H, Han T, Li G.
europepmc   +1 more source

Fusion Annotator: A Platform for Accelerating Consensus-Driven Ground Truth Generation with AI Assistance. [PDF]

Proc SPIE Int Soc Opt Eng
Kumar SKC, Afsari F, Lucarelli N, Srivastav D, Rosenberg AZ, Border S, Clapp W, Phillips C, Gupta A, Eadon MT, Strekalova YAL, Sarder P.   +11 more
europepmc   +1 more source

Editorial: Visualizing big culture and history data. [PDF]

Front Big Data
Windhager F, Koch S, Münster S, Mayr E.
europepmc   +1 more source

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. [PDF]

IS&T Int Symp Electron Imaging
Liu Q, Deng R, Cui C, Yao T, Yang Y, Nath V, Li B, Chen Y, Tang Y, Huo Y.   +9 more
europepmc   +1 more source

Practical guidelines for multiple instance learning in computational pathology: how embedding choice impacts overall survival prediction. [PDF]

Front Bioinform
Miccolis F, Ficarra E, Lovino M.
europepmc   +1 more source