Comput. Biol. Med. - Object information based interactive segmentation for fatty tissue extraction.

Tópicos

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Resumo

Lymph nodes are very important factors for diagnosing gastric cancer in clinical use, and are usually distributed within the fatty tissue around the stomach. When extracting fatty tissues whose structures and textures are complicated, automatic extraction is still a challenging task, while manual extraction is time-consuming. Consequently, semi-automatic extraction, which allows introducing interactive operations, appears to be more realistic. Currently, most interactive methods need to indicate the position and main features in both the object and background. However, it is easier for radiologists to only mark object information. Due to this issue, a new Object Information based Interactive Segmentation (OIIS) method is proposed in this paper. Different from the most existing methods, OIIS just needs to input the object information, while the background information is not required. Experimental results and comparative studies show that OIIS is effective for fatty tissue extraction.

Resumo Limpo

lymph node import factor diagnos gastric cancer clinic use usual distribut within fatti tissu around stomach extract fatti tissu whose structur textur complic automat extract still challeng task manual extract timeconsum consequ semiautomat extract allow introduc interact oper appear realist current interact method need indic posit main featur object background howev easier radiologist mark object inform due issu new object inform base interact segment oii method propos paper differ exist method oii just need input object inform background inform requir experiment result compar studi show oii effect fatti tissu extract

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