Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
Abstract: Instance image segmentation task requires training with abundant annotated data to achieve high accuracy. Recently, conditional image synthesis has demonstrated its effectiveness in ...
Abstract: Labeling large amounts of medical data is travailing, leading to the blooming of few-shot medical image segmentation, which aims to segment the foreground of a query image given a labeled ...
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