
-
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
In recent years, with the growing amount of biomedical documents, couple...
read it
-
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
Multimodal positron emission tomography-computed tomography (PET-CT) is ...
read it
-
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images
Objective: The accurate classification of mass lesions in the adrenal gl...
read it
-
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search
'Radiomics' is a method that extracts mineable quantitative features fro...
read it
-
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
Dynamic medical imaging is usually limited in application due to the lar...
read it
-
Semi-supervised estimation of event temporal length for cell event detection
Cell event detection in cell videos is essential for monitoring of cellu...
read it
-
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
Medical image analysis using supervised deep learning methods remains pr...
read it
-
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
The accuracy and robustness of image classification with supervised deep...
read it
-
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks
Automated segmentation of the optic cup and disk on retinal fundus image...
read it
-
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
The analysis of multi-modality positron emission tomography and computed...
read it
-
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation
Segmentation of skin lesions is considered as an important step in compu...
read it
-
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Argumentation
Segmentation of skin lesions is considered as an important step in compu...
read it
-
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis
The availability of large-scale annotated image datasets coupled with re...
read it
-
An unsupervised long short-term memory neural network for event detection in cell videos
We propose an automatic unsupervised cell event detection and classifica...
read it
-
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
Positron emission tomography (PET) image synthesis plays an important ro...
read it
-
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Automatic segmentation of liver lesions is a fundamental requirement tow...
read it
-
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks
Malignant melanoma has one of the most rapidly increasing incidences in ...
read it
-
High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots
Parallel coordinate plots (PCPs) are among the most useful techniques fo...
read it