Results 91 to 100 of about 317,725 (334)
Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review
Effective image and video annotation is a fundamental pillar in computer vision and artificial intelligence, crucial for the development of accurate machine learning models.
Rodrigo Fernandes +5 more
doaj +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations [PDF]
Yichi Zhang +10 more
openalex +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
This study investigates the feasibility of reducing manual image annotation costs in medical image database construction by utilizing a step by step approach where the Artificial Intelligence model (AI model) trained on a previous batch of data ...
Fu Zheng +15 more
doaj +1 more source
Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis
Image segmentation and annotation are key components of image-based medical computer-aided diagnosis (CAD) systems. In this paper we present Ratsnake, a publicly available generic image annotation tool providing annotation efficiency, semantic awareness,
D. K. Iakovidis +3 more
doaj +1 more source
Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation
Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper proposes
Juli Zhang +3 more
doaj +1 more source
MIRACLE’s Naive Approach to Medical Images Annotation
One of the proposed tasks of the ImageCLEF 2005 campaign has been an Automatic Annotation Task. The objective is to provide the classification of a given set of 1,000 previously unseen medical (radiological) images according to 57 predefined categories ...
González Cristóbal, José Carlos +3 more
core
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations [PDF]
Zipei Zhao +4 more
openalex +1 more source
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source

