A Chromatic Image Understanding System for Lung Cancer Cell Identification Based on Fuzzy Knowledge

Yang, Yongchun; Chen, Shifu; Lin, Hui; Ye, Yukun

doi:10.1007/978-3-540-24677-0_41

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“…In [90], the authors present an intelligent medical system for lung cancer cell identification based on a two-layer rule-based fuzzy knowledge model.…”

Section: ) 2d-based Approachesmentioning

confidence: 99%

Lung Cancer Detection on CT Scan Images: A Review on the Analysis Techniques

Mahersia¹,

Zaroug²,

Gabralla³

2015

ijarai

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Abstract-Lung nodules are potential manifestations of lung cancer, and their early detection facilitates early treatment and improves patient's chances for survival. For this reason, CAD systems for lung cancer have been proposed in several studies. All these works involved mainly three steps to detect the pulmonary nodule: preprocessing, segmentation of the lung and classification of the nodule candidates. This paper overviews the current state-of-the-art regarding all the approaches and techniques that have been investigated in the literature. It also provides a comparison of the performance of the existing approaches.

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“…In [90], the authors present an intelligent medical system for lung cancer cell identification based on a two-layer rule-based fuzzy knowledge model.…”

Section: ) 2d-based Approachesmentioning

confidence: 99%