Results 41 to 50 of about 22,865 (233)

GLCM and CNN Deep Learning Model for Improved MRI Breast Tumors Detection

Int. J. Online Biomed. Eng., 2022
Breast cancer is one of the most common types of cancer among Iraqi women. MRI has been used in the detection of breast tumors for its efficient performance in the diagnosis process providing high accuracy.
Aya Alsalihi, Hadeel K. Aljobouri, E. Altameemi   +2 more
semanticscholar   +1 more source

Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method

Inspiration
Native and Joper chickens are types of chickens whose meat is difficult to distinguish in terms of texture and color. The aim of this study is to develop an information system capable of detecting the type of chicken meat (native or Joper) based on image
Mila Jumarlis, Mirfan
doaj   +1 more source

Analysis of Built-Up Classes in Urbanised Zones Using Radar Images

Quaestiones Geographicae, 2023
This paper presents the results of a study to determine the potential of radar imaging to detect classes of built-up areas defined in the Urban Atlas (UA) spatial database. The classes are distinguished by function and building density.
Pluto-Kossakowska Joanna, Giczan Joanna
doaj   +1 more source

Revealing GLCM Metric Variations across a Plant Disease Dataset: A Comprehensive Examination and Future Prospects for Enhanced Deep Learning Applications

Electronics
This study highlights the intricate relationship between Gray-Level Co-occurrence Matrix (GLCM) metrics and machine learning model performance in the context of plant disease identification. It emphasizes the importance of rigorous dataset evaluation and
Masud Kabir, F. Unal, T. Akinci, A. Martinez-Morales, Sami Ekici   +4 more
semanticscholar   +1 more source

Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer

Annals of Gastroenterological Surgery
Background Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker ...
Hisashi Mamiya, Toru Tochigi, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Tetsuro Maruyama, Yoshihiro Kurata, Yumiko Takahashi, Atsushi Hirata, Hisahiro Matsubara   +9 more
doaj   +1 more source

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

Jurnal 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, R. Rizal Isnanto, Oky Dwi Nurhayati   +2 more
doaj   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Penerapan Neural Network untuk Klasifkasi Kerusakan Mutu Tomat

Jurnal Rekayasa Elektrika, 2020
The decrease in quality and productivity of tomatoes is caused by high rainfall, bad weather and cultivation so that the tomatoes become rotten, cracked, and spotting occurs. The government is trying to provide training to improve the quality of tomatoes
Zilvanhisna Emka Fitri, Rizkiyah Rizkiyah, Abdul Madjid, Arizal Mujibtamala Nanda Imron   +3 more
doaj   +1 more source

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

Advanced 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, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

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

Buana 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, Gunawan, Sawaviyya Anandianskha   +2 more
doaj   +1 more source