A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality
of trained machine learning (ML) computer models is provided. First ML model (s) process …

A mechanism is provided for seed relabeling for seed-based slice-wise lesion segmentation.
The mechanism receives a lesion mask for a three-dimensional medical image volume. The …

An inference process visualization system is configured to generate inference process
visualization data for a medical scan indicating an inference process flow of plurality of sub …

There is provided a method, comprising: accessing medical images of subjects, depicting
contrast phases of contrast administered to the respective subject, accessing for a first …

A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality
of trained machine learning (ML) computer models is provided. First ML model (s) process …

A false positive removal engine is provided. The false positive removal engine receives
detected objects in one or more images. A machine learning classifier computer model …

A lesion detection ensemble machine learning model architecture comprising a plurality of
trained machine learning (ML) computer models is provided. A first decoder of a lesion …

(57) ABSTRACT A mechanism is provided in a data processing system for refining lesion
contours with combined active contour and inpainting. The mechanism receives an initial …

A mechanism is provided to implement a trained machine learning computer model for
determining z-wise lesion connectivity. The mechanism identifies, for a given slice in a three …