
-
Using uncertainty estimation to reduce false positives in liver lesion detection
Despite the successes of deep learning techniques at detecting objects i...
read it
-
Crowdsourcing Airway Annotations in Chest Computed Tomography Images
Measuring airways in chest computed tomography (CT) scans is important f...
read it
-
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Today, deep convolutional neural networks (CNNs) have demonstrated state...
read it
-
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
Early detection of lung cancer has been proven to decrease mortality sig...
read it
-
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
One of the critical challenges in machine learning applications is to ha...
read it
-
Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis
Machine learning has a recognised need for large amounts of annotated da...
read it
-
A Survey of Crowdsourcing in Medical Image Analysis
Rapid advances in image processing capabilities have been seen across ma...
read it
-
Cats or CAT scans: transfer learning from natural or medical image source datasets?
Transfer learning is a widely used strategy in medical image analysis. I...
read it
-
Characterizing multiple instance datasets
In many pattern recognition problems, a single feature vector is not suf...
read it
-
Crowd disagreement of medical images is informative
Classifiers for medical image analysis are often trained with a single c...
read it
-
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans
Supervised feature learning using convolutional neural networks (CNNs) c...
read it
-
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Machine learning (ML) algorithms have made a tremendous impact in the fi...
read it
-
Exploring the similarity of medical imaging classification problems
Supervised learning is ubiquitous in medical image analysis. In this pap...
read it
-
Early Experiences with Crowdsourcing Airway Annotations in Chest CT
Measuring airways in chest computed tomography (CT) images is important ...
read it
-
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
A method for automatically quantifying emphysema regions using High-Reso...
read it
-
Label Stability in Multiple Instance Learning
We address the problem of instance label stability in multiple instance ...
read it
-
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
Supervised learning has been very successful for automatic segmentation ...
read it
-
Classification of COPD with Multiple Instance Learning
Chronic obstructive pulmonary disease (COPD) is a lung disease where ear...
read it
-
Transfer learning for multi-center classification of chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) is a lung disease which can...
read it
-
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning...
read it
-
On Classification with Bags, Groups and Sets
Many classification problems can be difficult to formulate directly in t...
read it
-
Quantile Representation for Indirect Immunofluorescence Image Classification
In the diagnosis of autoimmune diseases, an important task is to classif...
read it
-
Dissimilarity-based Ensembles for Multiple Instance Learning
In multiple instance learning, objects are sets (bags) of feature vector...
read it
-
Multiple Instance Learning with Bag Dissimilarities
Multiple instance learning (MIL) is concerned with learning from sets (b...
read it