Results 201 to 210 of about 16,769 (297)
Weakly supervised learning through box annotations for pig instance segmentation. [PDF]
Zhou H +5 more
europepmc +1 more source
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang +15 more
wiley +1 more source
Weakly-supervised deep learning models in computational pathology
Tanya N. Augustine
doaj +1 more source
High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis. [PDF]
Hu Z +9 more
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Weakly supervised learning in thymoma histopathology classification: an interpretable approach. [PDF]
Wang C +13 more
europepmc +1 more source
Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method. [PDF]
Yang Z, Zhao L, Wu S, Chen CY.
europepmc +1 more source
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +1 more source
Molecular Classification of Breast Cancer Using Weakly Supervised Learning. [PDF]
Jang W +5 more
europepmc +1 more source
This work proposes and constructs the Hefei‐NAMD‐S framework based on machine learning stacked models to investigate the relationship between local polarization and non‐radiative recombination. The results indicate that, compared with A‐site local polarization, B‐site local polarization shows a more evident association with the non‐radiative ...
Bing Yang +13 more
wiley +1 more source

