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Breast Cancer Detection with an Ensemble of Deep Learning Networks Using a Consensus-Adaptive Weighting Method

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A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification

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PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images

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RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion

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An automated workflow based on hip shape improves personalized risk prediction for hip osteoarthritis in the CHECK study

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Automatic Classification of Volumetric Optical Coherence Tomography Images via Recurrent Neural Network

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Interpreting Deep Learning Studies in Glaucoma: Unresolved Challenges

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Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks

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Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma

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Explainable Classification of Benign-Malignant Pulmonary Nodules With Neural Networks and Information Bottleneck

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A CT-Based Radiomic Signature for the Differentiation of Pulmonary Hamartomas from Carcinoid Tumors

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Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma

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Efficient unsupervised learning of biological images with compressed deep features

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Pulmonary Nodule Detection Based on Multiscale Feature Fusion

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Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM

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A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT

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Cancer Diagnosis based on Artificial Intelligence, Machine Learning, and Deep Learning

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Automatic coronary artery lumen segmentation in computed tomography angiography using paired multi-scale 3D CNN

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A soft-computing based approach towards automatic detection of pulmonary nodule

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Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis

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Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection

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Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma

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AUTOMATED CLASSIFICATION OF SOLITARY PULMONARY NODULES USING CONVOLUTIONAL NEURAL NETWORK BASED ON TRANSFER LEARNING STRATEGY

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Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics

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An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation

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Multi-Task Deep Learning for Lung Nodule Detection and Segmentation in CT Scans: A Review

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Identifying Emotions in Speech Patterns: Adopted Approach and Obtained Results

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Oil spills identification in SAR image based on Convolutional Neural Network

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3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT Scans

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Classification of Lung Nodules Based on Convolutional Deep Belief Network

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Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection

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Using convolutional neural networks for corneal arcus detection towards familial hypercholesterolemia screening

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Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging

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Lung Nodule Texture Detection and Classification Using 3D CNN

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Image Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography

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Diagnosis of COVID-19 with a Deep Learning Approach on Chest CT Slices

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