With the emergence of digital pathology, searching for similar images in
large archives has gained considerable attention. Image retrieval can provide
pathologists with unprecedented access to the evidence embodied in already
diagnosed and treated cases from the past. This paper proposes a search engine
specialized for digital pathology, called Yottixel, a portmanteau for "one
yotta pixel," alluding to the big-data nature of histopathology images. The
most impressive characteristic of Yottixel is its ability to represent whole
slide images (WSIs) in a compact manner. Yottixel can perform millions of
searches in real-time with a high search accuracy and low storage profile.
Yottixel uses an intelligent indexing algorithm capable of representing WSIs
with a mosaic of patches by converting them into a small number of methodically
extracted barcodes, called "Bunch of Barcodes" (BoB), the most prominent
performance enabler of Yottixel. The performance of the prototype platform is
qualitatively tested using 300 WSIs from the University of Pittsburgh Medical
Center (UPMC) and 2,020 WSIs from The Cancer Genome Atlas Program (TCGA)
provided by the National Cancer Institute. Both datasets amount to more than
4,000,000 patches of 1000x1000 pixels. We report three sets of experiments that
show that Yottixel can accurately retrieve organs and malignancies, and its
semantic ordering shows good agreement with the subjective evaluation of human
observers.

本文提出了一种数字病理学搜索引擎 Yottixel，它能够以紧凑的方式代表全切片图像，并使用 “条形码组合”（BoB）的算法进行智能编码以实现在大型档案中快速准确地搜索病例。测试结果表明，Yottixel 可以精确地检索器官和恶性肿瘤，并显示其语义排序与人类观察者的主观评估具有很好的一致性。

Yottixel -- 用于大量组织病理学切片图像的图像搜索引擎

Yottixel -- An Image Search Engine for Large Archives of Histopathology  Whole Slide Images

Yet Another Prolog (YAP) is a Prolog system originally developed in the
mid-eighties and that has been under almost constant development since then.
This paper presents the general structure and design of the YAP system,
focusing on three important contributions to the Logic Programming community.
First, it describes the main techniques used in YAP to achieve an efficient
Prolog engine. Second, most Logic Programming systems have a rather limited
indexing algorithm. YAP contributes to this area by providing a dynamic
indexing mechanism, or just-in-time indexer (JITI). Third, a important
contribution of the YAP system has been the integration of both or-parallelism
and tabling in a single Logic Programming system.

本文介绍了 Prolog 系统 YAP 的结构和设计，重点介绍了 YAP 为逻辑编程社区做出的三个重要贡献：实现高效的 Prolog 引擎、提供动态索引机制并在单个逻辑编程系统中集成或并行和 tabling。