
-
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Malignant melanoma (MM) is one of the deadliest types of skin cancer. An...
read it
-
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
In medical imaging, technical progress or changes in diagnostic procedur...
read it
-
Separation of target anatomical structure and occlusions in chest radiographs
Chest radiographs are commonly performed low-cost exams for screening an...
read it
-
Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem
Automated segmentation of anatomical structures is a crucial step in man...
read it
-
Unsupervised deep clustering for predictive texture pattern discovery in medical images
Predictive marker patterns in imaging data are a means to quantify disea...
read it
-
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Diagnosis and treatment guidance are aided by detecting relevant biomark...
read it
-
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
Optical coherence tomography (OCT) has become the most important imaging...
read it
-
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
The identification and quantification of markers in medical images is cr...
read it
-
Keypoint Transfer for Fast Whole-Body Segmentation
We introduce an approach for image segmentation based on sparse correspo...
read it
-
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images
The automatic detection of disease related entities in retinal imaging d...
read it
-
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Obtaining models that capture imaging markers relevant for disease progr...
read it
-
NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016)
This workshop explores the interface between cognitive neuroscience and ...
read it
-
Identifying and Categorizing Anomalies in Retinal Imaging Data
The identification and quantification of markers in medical images is cr...
read it