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Latest: Psychiatryai.com #RAISR4D Evidence
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Cool Evidence: Engaging Young People and Students in Real-World Evidence
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Real-Time Evidence Search [Psychiatry]
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AI Research
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A deep learning model trained on only eight whole-slide images accurately segments tumors: wise data use versus big data
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center Datasets BraNet: a mobil application for breast image classification based on deep learning algorithms Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors Deep Deblurring in Teledermatology: Deep Learning Models Restore the Accuracy of Blurry Images' Classification Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine Optical coherence tomography choroidal enhancement using generative deep learning Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross-sectional imaging Application of deep learning in isolated tooth identification Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning A deep learning model for generating [18F]FDG PET Images from early-phase [18F]Florbetapir and [18F]Flutemetamol PET images Radiomics of pituitary adenoma using computer vision: a review Survival estimation of oral cancer using fuzzy deep learning A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross-sectional study A DEEP LEARNING APPROACH TO DETECTION OF ORAL CANCER LESIONS FROM INTRA ORAL PATIENT IMAGES: A PRELIMINARY RETROSPECTIVE STUDY AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images Deep learning analysis for differential diagnosis and risk classification of gastrointestinal tumors Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning CT-based artificial intelligence prediction model for ocular motility score of thyroid eye disease An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model Realistic morphology-preserving generative modelling of the brain An ingenious deep learning approach for pressure injury depth evaluation with limited data CMRxRecon: A publicly available k-space dataset and benchmark to advance deep learning for cardiac MRI Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI A novel LVPA-UNet network for target volume automatic delineation: An MRI case study of nasopharyngeal carcinoma Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects Deep learning model utilizing clinical data alone outperforms image-based model for hernia recurrence following abdominal wall reconstruction with long-term follow up Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip Application of deep learning algorithms in classification and localization of implant cutout for the postoperative hip MRI-only based material mass density and relative stopping power estimation via deep learning for proton therapy: a preliminary study Dual-source dual-energy CT and deep learning for equivocal lymph nodes on CT images for thyroid cancer Learning Interpretable Brain Functional Connectivity Via Self-Supervised Triplet Network With Depth-Wise Attention Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort Data set terminology of deep learning in medicine: a historical review and recommendation An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures The Future of Orthodontics: Deep Learning Technologies An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study
Evidence Blueprint
A deep learning model trained on only eight whole-slide images accurately segments tumors: wise data use versus big data
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☊ AI-Driven Related Evidence Nodes
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More Evidence
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A deep learning model trained on only eight whole-slide images accurately segments tumors: wise data use versus big data
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center Datasets BraNet: a mobil application for breast image classification based on deep learning algorithms Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors Deep Deblurring in Teledermatology: Deep Learning Models Restore the Accuracy of Blurry Images' Classification Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering SpheroScan: a user-friendly deep learning tool for spheroid image analysis Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models A Deep Learning Model for Screening Computed Tomography Imaging for Thyroid Eye Disease and Compressive Optic Neuropathy Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine Optical coherence tomography choroidal enhancement using generative deep learning Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks 3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bath Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study Deep-learning model for evaluating histopathology of acute renal tubular injury A deep learning approach for Direct Immunofluorescence pattern recognition of Autoimmune Bullous Diseases Handloomed fabrics recognition with deep learning Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross-sectional imaging Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks Application of deep learning in isolated tooth identification Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning A deep learning model for generating [18F]FDG PET Images from early-phase [18F]Florbetapir and [18F]Flutemetamol PET images Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy Deceptive learning in histopathology MULTI-TASK DEEP LEARNING AND UNCERTAINTY ESTIMATION FOR PET HEAD MOTION CORRECTION Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases Radiomics of pituitary adenoma using computer vision: a review Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography Survival estimation of oral cancer using fuzzy deep learning A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross-sectional study A DEEP LEARNING APPROACH TO DETECTION OF ORAL CANCER LESIONS FROM INTRA ORAL PATIENT IMAGES: A PRELIMINARY RETROSPECTIVE STUDY Deep Learning and Geriatric Mental Health AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images Deep learning tools to accelerate antibiotic discovery A Convolutional Neural Network Model for Distinguishing Hemangioblastomas From Other Cerebellar-and-Brainstem Tumors Using Contrast-Enhanced MRI Detecting schizophrenia with 3D structural brain MRI using deep learning Deep learning analysis for differential diagnosis and risk classification of gastrointestinal tumors ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data Deep Learning-Based Automatic Classification of Ischemic Stroke Subtype Using Diffusion-Weighted Images ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning