280 Rapid On-Site Cytology Using a Multi-Camera Array Scanner and Weakly Supervised Multiple-Instance Learning [PDF]
Amey Chaware +7 more
openalex +1 more source
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
Weakly supervised learning and interpretability for endometrial whole slide image diagnosis. [PDF]
Mohammadi M +10 more
europepmc +1 more source
Boosting Photo‐Pyroelectric Effect via Tunable Polarization and Interfacial Defect Engineering
This study reports Ba(Ti0.85Zr0.15)O3 nanocatalysts with enhanced polarization and oxygen‐vacancy‐rich interfaces for efficient NIR‐II photo‐pyroelectric therapy. Zr doping boosts the pyroelectric coefficient and accelerates polarization switching, while oxygen vacancies improve photothermal conversion and surface reactivity.
Yanli Huang +13 more
wiley +1 more source
Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning. [PDF]
Kim GJ, Lee T, Ahn S, Uh Y, Kim SH.
europepmc +1 more source
Direct orbital angular momentum (OAM) detection through the orbital photogalvanic effect offers a scalable route for integrated optoelectronics. This perspective evaluates symmetry‐driven material selection and demonstrates how electrode matrices enable the resolution of complex, mixed OAM modes.
Jinluo Cheng +5 more
wiley +1 more source
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang, Christopher D. Manning
doaj +1 more source
Weakly supervised learning for multi-organ adenocarcinoma classification in whole slide images. [PDF]
Tsuneki M, Kanavati F.
europepmc +1 more source
Novelty Detection and Learning from Extremely Weak Supervision [PDF]
Eduardo Soares, Plamen Angelov
openalex +1 more source
Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type [PDF]
Rui Guo +9 more
openalex +1 more source

