Results 181 to 190 of about 46,112 (265)
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source
Prospective laparoscopic assessment of sigmoid elongation: association with constipation and abdominal pain. [PDF]
Driouch J +5 more
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Clinical Factors Associated With Endoscopic Decompression Failure and Recurrent Sigmoid Volvulus: A Retrospective Cohort Study. [PDF]
Choi S +8 more
europepmc +1 more source
A Cross‐Organ Symphony of Human Immune System Maturation
Organ Medicine, EarlyView.
Zhan‐Li Chen
wiley +1 more source
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li +3 more
wiley +1 more source
Spontaneous Epidural Haematoma and Sigmoid Sinus Thrombosis due to Pyogenic Mastoiditis in Children: A Case Report. [PDF]
Fermeli D +8 more
europepmc +1 more source
A Lightweight Hybrid Network for Medical Image Segmentation With Adaptive Feature Selection
ABSTRACT Accurate medical image segmentation with low model complexity remains difficult because lesions are often small in scale and boundary cues are easily corrupted by noise. Although recent segmentation methods have achieved strong performance, many of them rely on increasingly complex architectures with high computational costs, limiting their ...
Zhouwei Lin +7 more
wiley +1 more source
Multiple cerebral venous thrombosis as the first presentation of Behçet syndrome: case report and literature review. [PDF]
Varoglu AO, Hosver B, Atalay B.
europepmc +1 more source
This paper validates the OpenAlex model for real‐time topic classification of synchrotron proposals. The proposed live service architecture incorporates user verification, providing a scalable solution for introducing enhanced topic metadata into scientific workflows without sacrificing precision.Experiment proposals at synchrotron facilities serve as ...
Terence Tan +22 more
wiley +1 more source

