This paper presents a deep learning approach for automatic detection and visual analysis of invasive ductal carcinoma (IDC) tissue regions in whole slide images (WSI) of breast cancer (BCa). Deep learning approaches are learn-from-data methods involving computational modeling of the learning process. This approach is similar to how human brain works using different interpretation levels or laye...

BACKGROUND Whole slide images (WSIs) used in medical education can provide new insights into how histological slides are viewed by students. We created software infrastructure which tracks viewed WSI areas, used it during a practical exam in oral pathology and analyzed collected data to discover students' viewing behavior. METHODS A view path tracking solution, which requires no specialized e...

Introduction: The application of Whole Slide Images (WSI) as virtual slides (VS) is the clue of digital pathology. Two main factors limit currently the application of WSI in daily use: the scanning speed and the expectation of constant image quality. The automatic scan process should ensure a constant image quality at a high level. Meanwhile many libraries of VS exist for educational, research ...

Artykuł dotyczy problematyki lokalizacji i roli kościoła w historycznych strukturach wiejskich powiązaniu z życiem społeczności. Na podstawie wybranych wsi polskiej części Zamagurza Spiskiego wskazano czynniki warunkujące główne przekształcenia struktur od czasu powstania do współczesności. Badany obszar, zróżnicowany krajobrazowo, był miejscem styku prądów kulturowych, religijnych oraz polityc...

Diagnosis. A VS800 (OLYMPUS, Tokyo, Japan) in a WSI system and an AS-400 (KURABO, Tokyo, Japan) for the ASP systemwere used. Up to 100 slides consisting of biopsy, endoscopic mucosal resection (EMR), or endoscopic submucosal dissection (ESD) specimenswere scanned and stored digitally in one set and the digital images were viewed on a monitor in a separate room using a VS800 viewer. Ocular obser...

Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural Language Processing (NLP), i.e., those of, respectively, automatically assigning meaning to words in context from a predefined sense inventory and discovering senses from text for a given input word. The two tasks have generally been hard to perform with high accuracy. However, today innovations ...

Background The objectives of our study were 1) to characterize culling and retention patterns in parities 0 to 6 in served females and farrowed sows in two herd groups, and 2) to quantify the factors associated with by-parity culling risks for both groups in commercial herds. Lifetime data from first-service to removal included 465,947 service records of 94,691 females served between 2008 and 2...

Fault-tolerant approaches have been widcly em­ ployed to improve the yield of ULSI and WSI processor arrays. In this paper, we propose a host-driven reconfiguration scheme, called HEX-REPAIR, for hexagonal processor arrays charac­ terized by a large number of relatively simple cells. Such arrays have heen shown to be the most efficient for many digital signal processing applications, such as ma...