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Artificial Intelligence and Interstitial Lung Disease

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CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes

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Neovascularization Detection and Localization in Fundus Images Using Deep Learning

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Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model

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A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques

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Machine learning techniques for pulmonary nodule computer-aided diagnosis using CT images: A systematic review

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A Series-Based Deep Learning Approach to Lung Nodule Image Classification

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Breast Cancer Classification from Ultrasound Images using VGG16 Model based Transfer Learning

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Cancer Prognosis and Diagnosis Methods Based on Ensemble Learning

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Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm

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Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model

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Diagnostic clinical decision support based on deep learning and knowledge-based systems for psoriasis: From diagnosis to treatment options

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Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural NetworkPreprint

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AI and IoT Applications in Medical Domain Enhancing Healthcare Through Technology Integration

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Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review

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Computer-Aided Diagnosis Based on Extreme Learning Machine: A Review

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Rescue Robots for the Urban Earthquake Environment

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Automatic Segmentation of Cervical Cells Based on Star-Convex Polygons in Pap Smear Images

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Development and optimization of AI algorithms for wrist fracture detection in children using a freely available dataset

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GA-UNet: A Lightweight Ghost and Attention U-Net for Medical Image Segmentation

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Low-cost image analysis with convolutional neural network for herpes zoster

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A Novel Deep Transfer Learning-Based Approach for Automated Pes Planus Diagnosis Using X-ray Image

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Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image

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Few-shot learning based histopathological image classification of colorectal cancer

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A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images

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Deep neural network approaches for detecting gastric polyps in endoscopic images

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Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals

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A Novel Intelligent System for Brain Tumor Diagnosis Based on a Composite Neutrosophic‐Slantlet Transform Domain for Statistical Texture Feature Extraction

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A multi-criteria spatial approach for determination of the logistics center locations in metropolitan areas

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Detection of COVID‐19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network

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Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning

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Few-shot class-incremental audio classification via discriminative prototype learning

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A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images

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Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentation

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LLMs driven fusion AI-AD system for mechanical design: From understanding to generation

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Smart Sensing Enhanced Diagnostic Expert Systems

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Artificial intelligence techniques support nuclear medicine modalities to improve the diagnosis of Parkinson’s disease and Parkinsonian syndromes

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Automatic prostate cancer detection model based on ensemble VGGNet feature generation and NCA feature selection using magnetic resonance images

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A Novel Method to Identify Mild Cognitive Impairment Using Dynamic Spatio-Temporal Graph Neural Network

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Brachial Plexus Nerve Trunk Recognition From Ultrasound Images: A Comparative Study of Deep Learning Models

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SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis

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3D automatic levels propagation approach to breast MRI tumor segmentation

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DiSCNet: Directional Split Convolution for compute-efficient brain tumor diagnosis

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Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis

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Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review

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Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images

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Plasmodium Detection from Blood-cell Images using MobileNet and Firefly Algorithm

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An Improved Deep Persistent Memory Network for Rician Noise Reduction in MR Images

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Diagnosis of multiple sclerosis using multifocal ERG data feature fusion

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Dysphagia diagnosis system with integrated speech analysis from throat vibration

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Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models

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