Abstract. Histopathology is crucial to diagnosis of cancer, yet its interpretation is tedious and challenging. To facilitate this procedure, content-based ...
Nov 18, 2015 · Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. Conference paper; First Online: 18 November 2015. pp 366 ...
(PDF) Joint Kernel-Based Supervised Hashing for Scalable ...
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Dec 25, 2018 · Recently, with the rapid growth of histopathological images, hashing-based retrieval approaches are gaining popularity due to their exceptional ...
In response, we exploit joint kernel-based supervised hashing (JKSH) to integrate complementary features in a hashing framework. Specifically, hashing functions ...
Oct 5, 2015 · Dive into the research topics of 'Joint kernel-based supervised hashing for scalable histopathological image analysis'. Together they form a ...
Aug 5, 2016 · / Medical Image Analysis 34 (2016) 3–12. Fig. 2. Illustration of joint kernel-based hashing. (a) Two features are extracted from twelve ...
A scalable image-retrieval framework is built based on the supervised kernel hashing technique and validated on several thousand histopathological images ...
A principled framework to unify hashing-based image retrieval and supervised learning is proposed, designed to simultaneously fuse and compress multiple ...
2015 Publications. Joint kernel based supervised hashing for scalable histopathological image analysis. M. Jiang, S. Zhang, J. Huang, L. Yang, D. N. Metaxas
[3] Jiang et al., "Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis", MICCAI, 2015. Confidence in this Review. 2-Confident ...