Multiple semantic X-ray medical image retrieval using efficient feature vector extracted by FPN
L Zhi, S Duan, S Zhang - Journal of X-Ray Science and …, 2024 - journals.sagepub.com
OBJECTIVE: Content-based medical image retrieval (CBMIR) has become an important part
of computer-aided diagnostics (CAD) systems. The complex medical semantic information …
of computer-aided diagnostics (CAD) systems. The complex medical semantic information …
Multiple manifold clustering using curvature constrained path
A Babaeian, A Bayestehtashk, M Bandarabadi - PloS one, 2015 - journals.plos.org
The problem of multiple surface clustering is a challenging task, particularly when the
surfaces intersect. Available methods such as Isomap fail to capture the true shape of the …
surfaces intersect. Available methods such as Isomap fail to capture the true shape of the …
[PDF][PDF] CF 患者肺组织分类———基于相关反馈的监督核哈希方法
申华磊， 邱鹏 - 河南师范大学学报(自然科学版), 2019 - htu.edu.cn
现有的哈希方法用于CF 患者肺组织分类时没有从正负反馈样本挖掘判别信息, 分类精度不高.
为此, 提出一种基于相关反馈的监督核哈希方法. 首先, 对肺组织进行监督核哈希学习 …
为此, 提出一种基于相关反馈的监督核哈希方法. 首先, 对肺组织进行监督核哈希学习 …
Query dependent multiview features fusion for effective medical image retrieval
Multiple features have been employed for content-based medical image retrieval. To reduce
curse of dimensionality, subspace learning techniques have been applied to learn a low …
curse of dimensionality, subspace learning techniques have been applied to learn a low …
Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks
S Ni, J Lv, Z Cheng, M Li - Plos one, 2015 - journals.plos.org
This paper presents improvements to the conventional Topology Representing Network to
build more appropriate topology relationships. Based on this improved Topology …
build more appropriate topology relationships. Based on this improved Topology …