Intraspecific variation in seed size mediates rodent–seed interactions: combined patch‐level trait distributions to individual seed selection
Sign Up to like & getrecommendations! Published in 2025 at "Oikos"
DOI: 10.1002/oik.11740
Abstract: Rodent–seed interactions are influenced strongly by seed traits. Seeds in natural systems rarely exist in isolation; they aggregate into spatially discrete patches with distinct trait distributions, where individual seed fate depends on both its own… read more here.
Keywords: individual seed; seed; seed size; patch level ... See more keywords
A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2024.42.16_suppl.e13592
Abstract: e13592 Background: Neoadjuvant immunochemotherapy has great potential to revolutionize the treatment of gastrointestinal cancer. However, effective biomarkers to classify responders from non-responders are still lacking. We aimed to build a response prediction model using multiplex… read more here.
Keywords: patient level; cancer; panel; patch level ... See more keywords
Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0304847
Abstract: This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prostate histopathology images, a critical task in the diagnosis and prognosis of prostate cancer. This study shows that the Gleason… read more here.
Keywords: label ensemble; gleason grading; patch level; gleason ... See more keywords
Vector maps and spatial autocorrelation of carbon emissions at land patch level based on multi-source data
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.1006337
Abstract: An accurate carbon emissions map is of great significance for urban planning to reduce carbon emissions, mitigate the heat island effect, and avoid the impact of high temperatures on human health. However, little research has… read more here.
Keywords: carbon; carbon emissions; land patch; patch level ... See more keywords
ARE-PaLED: Augmented Reality-Enhanced Patch-Level Explainable Deep Learning System for Alzheimer's Disease Diagnosis from 3D Brain sMRI
Sign Up to like & getrecommendations! Published in 2025 at "Symmetry"
DOI: 10.3390/sym17071108
Abstract: Structural magnetic resonance imaging (sMRI) is a vital tool for diagnosing neurological brain diseases. However, sMRI scans often show significant structural changes only in limited brain regions due to localised atrophy, making the identification of… read more here.
Keywords: diagnosis; patch level; alzheimer disease; brain ... See more keywords