In radiologists' routine work, one major task is to read a medical image, eg, a CT scan, find
significant lesions, and describe them in the radiology report. In this paper, we study the …

Skin lesions are organized in a hierarchical way, which is taken into account by
dermatologists when diagnosing them. However, automatic systems do not make use of this …

Medical images used in clinical practice are heterogeneous and not the same quality as
scans studied in academic research. Preprocessing breaks down in extreme cases when …

Skin conditions are a global health concern, ranking the fourth highest cause of nonfatal
disease burden when measured as years lost due to disability. As diagnosing, or classifying …

Many atlases used for brain parcellation are hierarchically organised, progressively dividing
the brain into smaller sub-regions. However, state-of-the-art parcellation methods tend to …

Systems, methods, and storage media for automatically identifying skin conditions based on
images and other data using machine learning methods and algorithms that encode expert …

Abstract Systems, methods, and storage media for automatically identifying skin conditions
based on images and other data using machine learning methods and algorithms that …

There is shown and described a deep learning based system and method for skin
diagnostics as well as testing metrics that show that such a deep learning based system …

Abstract Systems, methods, and storage media for automatically identifying medical
conditions based on images and other data using machine learning methods and algorithms …

2021-08-27 Assigned to MODIFACE reassignment MODIFACE ASSIGNMENT OF
ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: AARABI, PARHAM …