AIMC Topic: Deep Learning
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A novel method for online sex sorting of silkworm pupae (Bombyx mori) using computer vision combined with deep learning.
Journal of the science of food and agriculture
Feb 12, 2025
BACKGROUND: Silkworm pupae (SP), the pupal stage of an edible insect, have strong potential in the food, medicine, and cosmetic industries. Sex sorting is essential to enhance nutritional content and genetic traits in SP crossbreeding but it remains ...
A Review of ChatGPT as a Reliable Source of Scientific Information Regarding Endodontic Local Anesthesia.
Journal of endodontics
Feb 12, 2025
INTRODUCTION: ChatGPT is an artificial intelligence chatbot, developed by OpenAI, which uses Deep Learning technology for information processing. The chatbot uses natural language processing and machine learning algorithms to respond to users' questi...
Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.
Annals of the rheumatic diseases
Feb 12, 2025
OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular contributors. Biofluids contain microRNAs and metabolites that can be measured by omic technologies. Multimodal deep learning is adept at uncovering ...
FakET: Simulating cryo-electron tomograms with neural style transfer.
Structure (London, England : 1993)
Feb 12, 2025
In cryo-electron microscopy, accurate particle localization and classification are imperative. Recent deep learning solutions, though successful, require extensive training datasets. The protracted generation time of physics-based models, often emplo...
Image quality and diagnostic performance of deep learning reconstruction for diffusion- weighted imaging in 3 T breast MRI.
European journal of radiology
Feb 12, 2025
PURPOSE: This study aimed to assess the image quality and the diagnostic value of deep learning reconstruction (DLR) for diffusion-weighted imaging (DWI) compared with conventional single-shot echo-planar imaging (ss-EPI) in 3 T breast MRI.
Artificial intelligence in gastrointestinal cancer research: Image learning advances and applications.
Cancer letters
Feb 12, 2025
With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, large language models, and neural networks, these methodologies are increasingly being developed and integrated into cancer research. Gastrointestinal t...
EAMAPG: Explainable Adversarial Model Analysis via Projected Gradient Descent.
Computers in biology and medicine
Feb 12, 2025
Despite the outstanding performance of deep learning (DL) models, their interpretability remains a challenging topic. In this study, we address the transparency of DL models in medical image analysis by introducing a novel interpretability method usi...
X-scPAE: An explainable deep learning model for embryonic lineage allocation prediction based on single-cell transcriptomics revealing key genes in embryonic cell development.
Computers in biology and medicine
Feb 12, 2025
In single-cell transcriptomics research, accurately predicting cell lineage allocation and identifying differences between lineages are crucial for understanding cell differentiation processes and reducing early pregnancy miscarriages in humans. This...
Gabor-modulated depth separable convolution for retinal vessel segmentation in fundus images.
Computers in biology and medicine
Feb 12, 2025
BACKGROUND: In diabetic retinopathy, precise segmentation of retinal vessels is essential for accurate diagnosis and effective disease management. This task is particularly challenging due to the varying sizes of vessels, their bifurcations, and the ...
Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation.
Computers in biology and medicine
Feb 12, 2025
Wearable technology has expanded the applications of photoplethysmography (PPG) in remote health monitoring, enabling real-time measurement of various physiological parameters, such as heart rate (HR), heart rate variability (HRV), and respiration ra...
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