AIMC Topic: Deep Learning

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Precision in Predicting Protein-Nucleic Acid Complexes: Establishing a Benchmark Data Set and Comparative Metrics.

Journal of chemical information and modeling
Protein-nucleic acid interactions are fundamental to biological processes and biotechnology, yet their computational prediction lags behind protein structure or protein-protein interaction modeling. This study introduces ProNASet, a benchmark data se...

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data.

ACS sensors
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this is...

Bioinspired Multifunctional Eutectogels for Skin-Like Flexible Strain Sensors with Potential Application in Deep-Learning Handwriting Recognition.

Langmuir : the ACS journal of surfaces and colloids
Polymerizable deep eutectic solvents (PDES) have recently emerged as a class of solvent-free ionically conductive elastomers and are considered among the most feasible candidates for next-generation ionotronic devices. However, the fundamental challe...

Automatic infant 2D pose estimation from videos: Comparing seven deep neural network methods.

Behavior research methods
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of d...

Biological Age Estimation From the Age Gap Using Deep Learning Integrating Morbidity and Mortality: Model Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Biological age (BA) is increasingly recognized as a valuable alternative to chronological age (CA) for assessing an individual's health and aging status. However, existing models are based on limited clinical parameters and have not thoro...

Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.

JMIR research protocols
BACKGROUND: Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource ...

Research on error classification in gamma analysis on the basis of dosimetric feature engineering and deep learning.

Biomedical physics & engineering express
. Gamma analysis serves as a critical safety assurance tool in radiotherapy, yet its broader clinical implementation remains constrained by insufficient error cause determination. To address this limitation, this study proposes a gamma passing rate (...

Deep feature engineering for accurate sperm morphology classification using CBAM-enhanced ResNet50.

PloS one
BACKGROUND AND OBJECTIVE: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted r...

Multi-scale diffusion model for underwater image restoration and enhancement.

PloS one
BACKGROUND: Underwater environments face challenges with image degradation due to light absorption and scattering, resulting in blurring, reduced contrast, and color distortion. This significantly impacts underwater exploration and environmental moni...

Optimization design of interior space based on the two-stage deep learning network and Single sample-driven method.

PloS one
This study addresses the limitations of traditional interior space design, particularly the timeliness and uniqueness of solutions, by proposing an optimized design framework that integrates a two-stage deep learning network with a single-sample-driv...