Results 91 to 100 of about 539,097 (330)
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification [PDF]
Kanan Mahammadli +2 more
openalex +1 more source
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source
Semantic Segmentation of highly class imbalanced fully labelled 3D\n volumetric biomedical images and unsupervised Domain Adaptation of the\n pre-trained Segmentation Network to segment another fully unlabelled\n Biomedical 3D Image stack [PDF]
Shreya Roy, Anirban Chakraborty
openalex +1 more source
Weed Recognition using Deep Learning Techniques on Class-imbalanced Imagery [PDF]
A S M Mahmudul Hasan +4 more
openalex +1 more source
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li +8 more
wiley +1 more source
Combating Uncertainty and Class Imbalance in Facial Expression Recognition [PDF]
Jiaxiang Fan +5 more
openalex +1 more source
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti +3 more
wiley +1 more source
Contrast mining in large class imbalance data [PDF]
University of Technology, Sydney. Faculty of Engineering and Information Technology.Class imbalance data, in which the classes are not equally represented and the minority classes include a much smaller number of examples than other classes, is pervasive
Li, J
core
Robust loss function for class imbalanced semantic segmentation and image classification
S Divakar Bhat +3 more
openalex +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source

