16 papers · ranked by Valyu relevance
Ziqiang Chen, Xiaobing Wang, Zelin Jin, Bosen Li + 22 more
Tertiary lymphoid structures (TLSs) have been associated with favorable immunotherapy responses and prognosis in various cancers. Despite their significance, their quantification using multiplex immunohistochemistry (mIHC) staining of T and B lymphocytes remains labor-intensive, limiting its clinical utility. To…
Lei Su, Ruiyu Li, Guangyao Zhang, Zonghao Liu + 6 more
This study focuses on tertiary lymphoid structure (TLS) semantic segmentation in whole slide images (WSIs). Unlike TLS binary segmentation, TLS semantic segmentation identifies boundaries and maturity and requires the integration of contextual information to discover discriminative features. Owing to the extensive…
Phil Wilkes, Mathias Disney, John Armston, Harm Bartholomeus + 14 more
Above Ground Biomass (AGB) is an important metric used to quantify the mass of carbon stored in terrestrial ecosystems. For forests, this is routinely estimated at the plot scale (typically ≥1 ha) using inventory measurements and allometry. In recent years, Terrestrial Laser Scanning (TLS) has appeared as a disruptive…
Lei Su, Yang Du
Structure Semantic Segmentation in Whole Slide Image Authors: ['Lei Su' 'Yang Du'] We focus on tertiary lymphoid structure (TLS) semantic segmentation in whole slide image (WSI). Unlike TLS binary segmentation, TLS semantic segmentation identifies boundaries and maturity, which requires integrating contextual…
Mart van Rijthoven, Simon Obahor, Fabio Pagliarulo, Maries van den Broek + 5 more
Tertiary lymphoid structures (TLSs) are dense accumulations of lym-phocytes in inflamed peripheral tissues, including cancer, and are associated with improved survival and response to immunotherapy in various solid tumors. Histological TLS quantification has been pro-posed as a novel predictive and prognostic…
Tianyi Gao, Xinshu Ma, Suhas Narreddy, Eugenio Luo + 2 more
'Steven W. D. Chien' 'Michio Honda'] Cloud applications need network data encryption to isolate from other tenants and protect their data from potential eavesdroppers in the network infrastructure. This paper presents SDP, a protocol design for emerging datacenter transport protocols, such as pHost, NDP, and Homa, to…
Shobiri, Behnam, Pourali, Sajjad + 10 more
—In many web applications, such as Content Delivery Networks (CDNs), TLS credentials are shared, e.g., between the website's TLS origin server and the CDN's edge servers, which can be distributed around the globe. To enhance the security and trust for TLS 1.3 in such scenarios, we propose LURK-T, a provably secure…
Henrique B. Brum, Matteo Franzil, Riccardo Germenia, Salvatore Manfredi + 2 more
Despite the widespread use of Transport Layer Security (TLS), its security guarantees are frequently compromised by outdated versions and misconfigurations. To analyze this problem, we collected more than 50 million TLS handshakes over a two-week period at our research institution, Fondazione Bruno Kessler, and…
Jhury Kevin Lastre, Yongho Ko, Hoseok Kwon, Ilsun You + 1 more
Cross-border Fifth Generation Mobile Communication (5G) roaming requires secure N32 connections between network operators via Security Edge Protection Proxy (SEPP) interfaces, but current Transport Layer Security (TLS) 1.3 implementations face a critical trade-off between connection latency and security guarantees.…
Kamal L Nahas, João Ferreira Fernandes, Colin Crump, Stephen Graham + 1 more
Cryo-soft-X-ray tomography is being increasingly used in biological research to study the morphology of cellular compartments and how they change in response to different stimuli, such as viral infections. Segmentation of these compartments is limited by time-consuming manual tools or machine learning algorithms that…
Maciej Kalka, Marek Kirejczyk
Transport Layer Security (TLS) protocol is a cryptographic protocol designed to secure communication over the internet. The TLS protocol has become a fundamental in secure communication, most commonly used for securing web browsing sessions. In this work, we investigate the TLSNotary protocol, which aim to enable the…
Van Lam, Jeff M. Byers, Michael Robitaille, Logan Kaler + 2 more
In principle, AI-based algorithms should enable rapid and accurate cell segmentation in high-throughput settings. However, reliance on large datasets, human input, and computational expertise, along with issues of limited generalizability and the necessity for specialized training are notable drawbacks of nominally…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…
Laura Wiggins, Peter J. O’Toole, William J. Brackenbury, Julie Wilson
Segmentation and tracking are essential preliminary steps in the analysis of almost all live cell imaging applications. Although the number of open-source software systems that facilitate automated segmentation and tracking continue to evolve, many researchers continue to opt for manual alternatives for samples that…
Yichen He, Eleftherios Ioannou, Kathryn Harris, Gavin Thomas + 3 more
Fine-grained localisation of plumage regions is a prerequisite for computational analyses of avian colouration, patterning and visual traits in ecological and evolutionary research. Progress is limited by the scarcity of image resources with annotations aligned to biologically meaningful anatomical units: existing…
Luca Frigau, Claudio Conversano, Jaromír Antoch
Human recognition and automated image validation are the most widely used approaches to validate the output of binary segmentation methods but, as the number of pixels in an image easily exceeds several million, they become highly demanding from both practical and computational standpoint. We propose a method, called…