AIMC Topic: Image Processing, Computer-Assisted

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Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases.

Scientific reports Jul 24, 2025
GI diseases are one of the leading causes of morbidity and mortality worldwide, and early and accurate diagnosis is considered to be very important. Traditional methods like endoscopy take time and depend majorly on the judgment of the physician. The...
Deep Learning Image Processing, Computer-Assisted Humans Algorithms Gastrointestinal Diseases
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An automated hybrid deep learning framework for paddy leaf disease identification and classification.

Scientific reports Jul 24, 2025
In India, agriculture remains the primary source of livelihood for many people. Pathogen attacks in crops and plants significantly diminish both the yield and quality of production, leading to financial losses. As a result, identifying diseases in cr...
Plant Leaves Oryza Crops, Agricultural Plant Diseases Deep Learning Image Processing, Computer-Assisted Algorithms
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FedGAN: Federated diabetic retinopathy image generation.

PloS one Jul 24, 2025
Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. We propose FedGAN, a federated learning framework for synthetic medical image generation ...
Diabetic Retinopathy Algorithms Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning
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Automatic porcine diarrhea viruses classification using pathological images and hybrid semantic neural network.

Computers in biology and medicine Jul 23, 2025
Porcine epidemic diarrhea is a highly contagious intestinal disease in pigs, caused by various strains of porcine epidemic diarrhea virus (PEDV). The infection rate in suckling piglets can reach 100%. Manual analysis of pathological images is the pri...
Coronavirus Infections Porcine epidemic diarrhea virus Diarrhea Databases, Factual Image Processing, Computer-Assisted Animals Swine Swine Diseases Neural Networks, Computer
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EmiNet: Moving bacteria detection on optical endomicroscopy images trained on synthetic data.

Computers in biology and medicine Jul 23, 2025
Pneumonia, a respiratory disease often caused by bacterial infection in the distal lung, necessitates prompt and precise diagnosis, particularly in critical care settings. Optical endomicroscopy (OEM) facilitates real-time acquisition of in vivo and ...
Image Processing, Computer-Assisted Humans Bacteria Neural Networks, Computer
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An explainable transformer model for Alzheimer's disease detection using retinal imaging.

Scientific reports Jul 23, 2025
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progress...
Retina Alzheimer Disease Female Humans Artificial Intelligence Male Aged Algorithms Image Processing, Computer-Assisted
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Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

Scientific reports Jul 23, 2025
Gene expression is an important process in which genes guide the synthesis of proteins, and molecular-level differences often lead to individual phenotypic variations. Combining molecular information at the nano-level with phenotypic information at t...
Humans Deep Learning Gene Expression Profiling Image Processing, Computer-Assisted
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Development and validation of a deep learning image quality feedback system for infant fundus photography.

Scientific reports Jul 23, 2025
Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare institutions face a shortage of well-trained ophthalmologists for conducting screenings. Hence, we have developed the Deep Learning Infant Fundus Quality ...
Humans Fundus Oculi Infant, Newborn ROC Curve Retinopathy of Prematurity Photography Infant Image Processing, Computer-Assisted Deep Learning
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Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

Scientific reports Jul 23, 2025
The reproducibility and robustness of many directed differentiation protocols from human induced pluripotent stem cells (hiPSCs) remain low, and the long differentiation induction period significantly limits protocol optimization. To address this, we...
Humans Cell Differentiation Induced Pluripotent Stem Cells Machine Learning Image Processing, Computer-Assisted
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Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.

Nature communications Jul 23, 2025
Forensic pathology plays a vital role in determining the cause and manner of death through macroscopic and microscopic post-mortem examinations. However, the field faces challenges such as variability in outcomes, labor-intensive processes, and a sho...
Forensic Pathology Humans Machine Learning Image Processing, Computer-Assisted Autopsy
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