AIMC Topic: Humans

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Vision transformer and Mamba-attention fusion for high-precision PCB defect detection.

PloS one
Defects in printed circuit boards (PCBs) are being detected using computer vision-based techniques. Defect-free PCBs are essential for the reliability of consumer electronics. However, deep learning-based methods often struggle with imbalanced defect...

FocusGate-Net: A dual-attention guided MLP-convolution hybrid network for accurate and efficient medical image segmentation.

PloS one
Although recent advances in CNNs and Transformers have significantly improved medical image segmentation, these models often struggle to balance segmentation accuracy, inference speed, and architectural simplicity. Lightweight MLP-based methods have ...

Latent representation of H&E images retains biological information in a breast cancer cohort.

PloS one
Imaging technologies and staining based pathology are important components of common practice cancer care. Specifically, H&E imaging is standard for almost all cancer patients. Traditionally, H&E images can serve, when used by experienced trained pat...

Design and control of a novel pneumatic soft robot based on the improved particle swarm optimization algorithm.

PloS one
Inspired by the flexible structures found in soft organisms in nature, researchers have developed a variety of novel soft robots using flexible materials. Compared to traditional rigid robots, soft robots offer advantages such as lighter weight, grea...

A GAN-Based Approach for enhancing security in satellite based IoT networks using MPI enabled HPC.

PloS one
Satellite Internet of Things (IoT) networks based on satellites are becoming increasingly critical for mission-critical applications, including disaster recovery, environmental surveillance, and remote sensing. While becoming more widespread, they ar...

Evaluating the diagnostic performance of OpenBioLLM in neurology: A case-based assessment of a medical large language model.

PloS one
In the evolving field of neurological healthcare, deep learning technologies are gaining recognition for their potential to enhance diagnostic accuracy. Transformer-based models, particularly large language models (LLMs) such as OpenBioLLM, have show...

FetalDenseNet: multi-scale deep learning for enhanced early detection of fetal anatomical planes in prenatal ultrasound.

Journal of perinatal medicine
OBJECTIVES: The study aims to improve the classification of fetal anatomical planes using Deep Learning (DL) methods to enhance the accuracy of fetal ultrasound interpretation.

Exploring nationwide patterns of sleep problems from late adolescence to adulthood using machine learning.

Science advances
Sleep problems among young adults pose a major public health challenge. Leveraging nationwide health surveys and registers from Denmark, we investigated patterns of sleep problems from late adolescence to adulthood and explored early life-course dete...

A Deep Learning-Based Fully Automated Vertebra Segmentation and Labeling Workflow.

British journal of hospital medicine (London, England : 2005)
Spinal disorders, such as herniated discs and scoliosis, are highly prevalent conditions with rising incidence in the aging global population. Accurate analysis of spinal anatomical structures is a critical prerequisite for achieving high-precision ...

Species distribution modeling to predict tsetse fly (Glossina spp.) habitat suitability in Kenya.

Parasites & vectors
BACKGROUND: African animal trypanosomosis (AAT) and human African trypanosomosis (HAT) are transmitted and spread primarily by tsetse flies (Glossina spp.) in sub-Saharan Africa. The animal disease poses significant challenges to agropastoral systems...