Results 71 to 80 of about 1,019 (182)
Objectives To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole‐mount prostate histopathology, considering potential variations observed when applying AI models trained on biopsy samples to radical prostatectomy (RP) specimens due to ...
Bogdana Schmidt +10 more
wiley +1 more source
Accurate Classification of Pathological Whole‐Slide Images for Out‐of‐Distribution Generalization
WSI‐based classification often suffers from out‐of‐distribution (OOD) generalization due to the distribution mismatch between training on mixed patches from multiple WSIs and testing on individual WSIs with varying tissue compositions. This prior shift impairs model generalization and degrades performance.
Kai Sun +5 more
wiley +1 more source
Adapting Traditional Macro and Micro Photography for Scientific Gigapixel Imaging
Traditionally, GigaPan technology has been used to acquire high resolution panoramas of large scenes. While thisapplication is useful for many scientific pursuits, it excludes the macro and microscopic realms of scientific research.
Randy Sargent (5358500) +5 more
core +1 more source
Practical quantification of necrosis in histological whole-slide images
S.313-322Since the histological quantification of necrosis is a common task in medical research and practice, we evaluate different image analysis methods for quantifying necrosis in whole-slide images. In a practical usage scenario, we assess the impact
Homeyer, A. +5 more
core +1 more source
This study introduces an advanced cohort research on breast cancer prognosis, revealing four distinct immune–metabolic subtypes with notable survival differences. Using cutting‐edge AI techniques, we developed a pathology‐based model integrating a modified ResNet50 network with an attention‐gated mechanism for subtype prediction.
Yunfang Yu +10 more
wiley +1 more source
High-Dynamic-Range Spectral Imaging System for Omnidirectional Scene Capture
Omnidirectional imaging technology has been widely used for scene archiving. It has been a crucial technology in many fields including computer vision, image analysis and virtual reality. It should be noted that the dynamic range of luminance values in a
Motoki Hori +4 more
core +1 more source
UltraZoom: Generating Gigapixel Images from Regular Photos
We present UltraZoom, a system for generating gigapixel-resolution images of objects from casually captured inputs, such as handheld phone photos. Given a full-shot image (global, low-detail) and one or more close-ups (local, high-detail), UltraZoom upscales the full image to match the fine detail and scale of the close-up examples. To achieve this, we
Jingwei Ma +4 more
openaire +2 more sources
Optical performance test and validation of microcameras in multiscale, gigapixel imagers
Wide field-of-view gigapixel imaging systems capable of diffraction-limited resolution and video-rate acquisition have a broad range of applications, including sports event broadcasting, security surveillance, astronomical observation, and bioimaging. The complexity of the system integration of such devices demands precision optical components that are
Seo Ho, Youn +7 more
openaire +2 more sources
We report a Fourier ptychography reconstruction that enabled the use of low-cost Bayer-filtered color cameras. Using 3D-printing, consumer electronics and robust calibration we demonstrated a microscope capable of capturing sub-micron resolution 25 ...
Tomas Aidukas (6914375) +1 more
core +1 more source
Navigating Gigapixel Pathology Images with Large Multimodal Models
Despite being widely used to support clinical care, general-purpose large multimodal models (LMMs) have generally shown poor or inconclusive performance in medical image interpretation, particularly in pathology, where gigapixel images are used.
Thomas A. Buckley +5 more
openaire +2 more sources

