Samsung Electronics Co., Ltd.

Seoul National University

Sin-Sang Yu

Jung-Hoe Kim

Yeong-Kyeong Seong

Ye-hoon Kim

Moon-ho Park

Baek-Hwan Cho

Hyeong-Min Jin

Myung-Eun Lee

Jong-Hyo Kim

An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.

Apparatus and method for lesion segmentation and detection in medical images

An apparatus and method for detecting a lesion, which enables to adaptively determine a parameter value of a lesion detection process using a feature value extracted from a received medical image and a parameter prediction model to improve accuracy in lesion detection and lesion diagnosis. The apparatus and the method include a model generator configured to generate a parameter prediction model based on pre-collected medical images, an extractor configured to extract a feature value from a received medical image, and a determiner configured to determine a parameter value of a lesion detection process using the extracted feature value and the parameter prediction model.

Apparatus and method for detecting lesion

Growing community of inventors

Seoul, South Korea

Sin-Sang Yu