Results 51 to 60 of about 15,845 (235)

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

Klasifikasi Penyakit Daun Kopi Robusta Menggunakan Metode SVM dengan Ekstraksi Ciri GLCM

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2023
Tanaman kopi merupakan sumber pendapatan bagi beberapa petani di Indonesia dan berperan penting sebagai penghasil devisa negara. Produksi tanaman kopi dapat menurun akibat serangan hama dan penyakit.
Agus Supriyanto   +2 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

VALIANT: A Vision‐Authenticity Language Framework Through Integrated Experts and Aligned Numerical‐Textual Descriptors for Citri Reticulatae Pericarpium

open access: yesAdvanced Intelligent Systems, EarlyView.
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan   +5 more
wiley   +1 more source

Variables tested for GLCM calculations.

open access: yes, 2018
Variables tested for GLCM calculations.
Joseph M. Wheaton (400702)   +2 more
core   +1 more source

Coastal Batik Motifs Identification Using K-Nearest Neighbor Based on The Grey Level Co-occurrence Method

open access: yesBuana Information Technology and Computer Sciences, 2023
Indonesia is a country rich in natural, cultural, and tourism resources. One of the famous human cultural heritage in Indonesia is batik. Batik has unique motifs that are very diverse so it is difficult to recognize the in certain classes.
Wresti Andriani   +2 more
doaj   +1 more source

Dopamine Transporter Imaging‐Based Radiomics for Predicting 4‐Year Motor Progression (Unified Parkinson's Disease Rating Scale Part III) in Parkinson's Disease

open access: yesiRADIOLOGY, EarlyView.
Magnetic resonance imaging (MRI)‐guided dopamine transporter (DAT) radiomics combined with machine learning showed promising performance for predicting 4‐year motor progression in Parkinson's disease. Ensemble voting fusion markedly improved discrimination compared with individual base models, with stable predictive features mainly derived from ...
Xiaoxuan Fan   +8 more
wiley   +1 more source

Applying GLCM Texture Analysis to Aerial Imagery.

open access: yes, 2015
Applying GLCM Texture Analysis to Aerial Imagery.
Boun Suy Tan (728660)   +3 more
core   +1 more source

Pengelompokan Buah Jeruk menggunakan Naïve Bayes dan Gray Level Co-occurrence Matrix

open access: yesIlkom Jurnal Ilmiah, 2020
Tangerines are fruits that are rich in high vitamin C content. Every orchard owner always tries to improve the quality of their plantation. In the selection of tangerines to be classified as ripe or immature at harvest time, the garden planters are ...
Rahmat Karim Haba   +1 more
doaj   +1 more source

AN AUTOMATIC DETECTION OF BREAST CANCER USING EFFICIENT FEATURE EXTRACTION AND OPTIMIZED CLASSIFIER MODEL

open access: yesICTACT Journal on Soft Computing, 2022
Image Processing Techniques (IPTs) are widely used in healthcare. IPTs work on images to extract useful information from them. IPTs are effective in the early diagnosis of cancers which helps in their proper treatment. The number of human beings affected
S Vani Kumari, K Usha Rani
doaj   +1 more source

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