A supervised visual model for finding regions of interest in basal cell carcinoma images.
A supervised visual model for finding regions of interest in basal cell carcinoma images.
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DOI：
10.1186/1746-1596-6-26
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发表时间：
2011-03-29
影响因子：
2.6
通讯作者：
Romero E
中科院分区：
文献类型：
--
作者：
Gutiérrez R;Gómez F;Roa-Peña L;Romero E
本文介绍了一种有监督的学习方法，用于发现组织病理学图像中的感兴趣的诊断区域。该方法是基于在病理学家的图像检查过程中出现的相关区域的视觉选择的认知过程。所提出的策略模拟的视觉皮层区域V1，V2和V4的相互作用，是V1皮层负责分配本地水平的相关性的视觉输入，而V2皮层收集这些小区域根据V4皮层，存储一些学习的规则调制的一些权重。这种新的策略可以被认为是“自下而上”和“自上而下”机制的复杂组合，通过计算每个区域内的唯一指数来整合。在一组338张图像上对该方法进行了评估，其中专家病理学家绘制了感兴趣区域。所提出的方法优于两个国家的最先进的方法，旨在确定感兴趣的区域（ROI）的自然图像。相对于发现ROI的自适应Itti模型的质量增益平均为3.6 dB，而相对于Achanta的提议为4.9 dB。
This paper introduces a supervised learning method for finding diagnostic regions of interest in histopathological images. The method is based on the cognitive process of visual selection of relevant regions that arises during a pathologist's image examination. The proposed strategy emulates the interaction of the visual cortex areas V1, V2 and V4, being the V1 cortex responsible for assigning local levels of relevance to visual inputs while the V2 cortex gathers together these small regions according to some weights modulated by the V4 cortex, which stores some learned rules. This novel strategy can be considered as a complex mix of "bottom-up" and "top-down" mechanisms, integrated by calculating a unique index inside each region. The method was evaluated on a set of 338 images in which an expert pathologist had drawn the Regions of Interest. The proposed method outperforms two state-of-the-art methods devised to determine Regions of Interest (RoIs) in natural images. The quality gain with respect to an adaptated Itti's model which found RoIs was 3.6 dB in average, while with respect to the Achanta's proposal was 4.9 dB.
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影响因子：
4.5
作者：
Diaz, Gloria;Gonzalez, Fabio A.;Romero, Eduardo
通讯作者：
Romero, Eduardo
DOI：
10.1109/34.730558
发表时间：
1998-11-01
影响因子：
23.6
作者：
Itti, L;Koch, C;Niebur, E
通讯作者：
Niebur, E
DOI：
10.1023/b:visi.0000022288.19776.77
发表时间：
2004-09-01
影响因子：
19.5
作者：
Felzenszwalb, PF;Huttenlocher, DP
通讯作者：
Huttenlocher, DP
DOI：
10.1109/titb.2004.823952
发表时间：
2003-12-01
影响因子：
--
作者：
Çatalyürek, Ü;Beynon, MD;Saltz, J
通讯作者：
Saltz, J
影响因子：
3.5
作者：
Fernandez-Gonzalez, R;Deschamps, T;de Solorzano, CO
通讯作者：
de Solorzano, CO