Results 181 to 190 of about 46,112 (265)

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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]

open access: yesLangenbecks Arch Surg
Driouch J   +5 more
europepmc   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Edge‐Channel Aggregation Network and Two‐Stage Fine Tuning Scheme for Handwritten Dongba Character Recognition

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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]

open access: yesCase Rep Infect Dis
Fermeli D   +8 more
europepmc   +1 more source

A Lightweight Hybrid Network for Medical Image Segmentation With Adaptive Feature Selection

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Topic classification of synchrotron experiment proposals using the OpenAlex model: enhancing metadata granularity and assessing live service feasibility

open access: yesJournal of Synchrotron Radiation, EarlyView.
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

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