Results 61 to 70 of about 14,188 (183)

Geographic Classification of Social Bees Using Automated Wing Pattern Analysis

Entomologia Experimentalis et Applicata, EarlyView.
We present an end‐to‐end deep learning framework for automated geographic classification of honey bee populations based on wing morphology. A dataset of 1040 wing images from seven regions was analyzed using four CNN architectures with transfer learning.
Emine Dilara Çavuş, Cansu Özge Tozkar
wiley   +1 more source

Reducing JPEG False Contour Using Visual Illumination

Information, 2018
This paper presents an efficient and simple technique on reducing the false contour problem which often occurs in the JPEG decoded image. The false contour appears on JPEG decoded image while applying small quality factor. This problem induces unpleasant
Heri Prasetyo, Hendra Kurniawan
doaj   +1 more source

Large Language Model‐Based Localization of Premature Ventricular Contraction Origins: A Retrospective Diagnostic Accuracy Study

Journal of Cardiovascular Electrophysiology, EarlyView.
ABSTRACT Background Accurate localization of premature ventricular contraction (PVC) origin from 12‐lead electrocardiography (ECG) is important for procedural planning in catheter ablation. Although convolutional neural network (CNN)‐based models have shown promising diagnostic performance, they require task‐specific training and remain limited in ...
Kazuhisa Matsumoto, Yuya Fujisaki, Syunta Higuchi, Masataka Narita, Wataru Sasaki, Tsukasa Naganuma, Naomichi Tanaka, Daisuke Kawano, Kei Matsumoto, Wataru Yoshino, Yoshifumi Ikeda, Ritsushi Kato, Hitoshi Mori   +12 more
wiley   +1 more source

Evaluation of artificial intelligence–based software programs applied to the radiographic and photographic identification of dental implant systems

Journal of Prosthodontics, EarlyView.
Abstract Purpose The purpose of this evaluation study was to assess the performance of ChatGPT‐5, Google Gemini (v2.5), and Microsoft Copilot in identifying five demonstration dental implant systems and four implants from real clinical cases based on clinical and radiographic images.
Sohil A. Kazim, Charles J. Goodacre
wiley   +1 more source

Grad-CAM-Based Lightweight JPEG Compression for Downstream Classification Tasks [PDF]

ITM Web of Conferences
Existing image compression methods designed for machine vision often suffer from a reliance on specialized decoders and a lack of compatibility with the mainstream JPEG ecosystem.
Tong Xinjun
doaj   +1 more source

A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

Plant Breeding, EarlyView.
ABSTRACT Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness.
Marcos Bruno da Costa Santos, Raylson de Sá Melo, Victor Eduardo de Carvalho Sousa, Artur Mendes Medeiros, Angela Maria dos Santos Pessoa, Silvokleio da Costa Silva, Antonia Maiara Marques do Nascimento, Priscila Alves Barroso   +7 more
wiley   +1 more source

A systematic color correction pipeline for controlled‐environment imaging

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi, Michael A. Hardigan, Jungmin Lee, Scott B. Lukas, Max J. Feldman, Kayla R. Altendorf, Jeffrey L. Neyhart, Devin A. Rippner   +7 more
wiley   +1 more source

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh, Om Sai Krishna Madhav Lella, Evan M. Wright, Karen Cichy, Valerio Hoyos‐Villegas   +4 more
wiley   +1 more source

BerryBox: An affordable computer vision system for postharvest phenotyping of cranberry and other small fruits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart, Collins Wakholi, Devin A. Rippner, John H. Price, Kayla R. Altendorf, Garett C. Heineck, Juan Zalapa, Jenyne Loarca, Gina M. Sideli   +8 more
wiley   +1 more source

Computer‐Aided Diagnosis in the Evaluation of Thyroid Nodules: A Study of Intra‐ And Inter‐Rater Reliability and Agreement

Head &Neck, Volume 48, Issue 9, Page 2456-2469, September 2026.
ABSTRACT Objective To evaluate the intra‐ and inter‐rater reliability of a computer‐aided diagnosis system applied to thyroid nodule assessment. Methods This prospective, single‐center study included 150 thyroid nodules evaluated by two physicians at two time points, 90 days apart.
Leonardo de Souza Piber, Luis Carlos Uta Nakano, Carolina Dutra Queiroz Flumignan, Ronald Luiz Gomes Flumignan   +3 more
wiley   +1 more source