Results 101 to 110 of about 36,113 (246)

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

Journal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu, Siyi Li, Zhiping Long, Yanjie Jia, Yue Yu, Bing Pei, Heli Yuan, Yuhua Hao, Zhiyun Jiang, Lei Cao, Kezheng Wang, Fan Wang   +11 more
wiley   +1 more source

Using Decision Tree With First and Second-Order Statistical Feature Extraction for Classification of Lung Cancer

Indonesian Journal of Applied Physics
The classification of CT-Scan images on images with lung cancer and normal lung has been done by improving the image quality of the median and Gabor filters, extraction of first and second-order statistical features, and decision tree classification. The
Mohtar Yunianto, Rizka Dewi Meilina, Esti Suryani   +2 more
doaj   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian   +10 more
wiley   +1 more source

Digit Classification of Majapahit Relic Inscription using GLCM-SVM

Knowledge Engineering and Data Science, 2018
A higher level of image processing usually contains some kind of classification or recognition. Digit classification is an important subfield in handwritten recognition. Handwritten digits are characterized by large variations so template matching, in general, is inefficient and low in accuracy. In this paper, we propose the classification of the digit
Tri Septianto, Endang Setyati, Joan Santoso   +2 more
openaire   +3 more sources

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source

SD LMS L-Filters for Filtration of Gray Level Images in Timespatial Domain Based on GLCM Features

Advances in Electrical and Electronic Engineering, 2008
In this paper, the new kind of adaptive signal-dependent LMS L-filter for suppression of a mixed noise in greyscale images is developed. It is based on the texture parameter measurement as modification of spatial impulse detector structure. Moreover, the
Robert Hudec, Miroslav Benco, Janko Krajcovic   +2 more
doaj  

Sistem Klasifikasi Jenis Kain Berdasarkan Tekstur Menggunakan Metode Support Vector Machine Berbasis Web Flask

Jurnal Ilmiah Informatika dan Komputer
Kain adalah salah satu dari ribuan hasil karya manusia di penjuru dunia. Kain sendiri terbuat dari tenunan benang yang berasal dari bahan kapas, sutra, dan sintesis lainnya.
Anis Yusrotun Nadhiroh
doaj   +1 more source

Computationally Efficient Nonlinear Bell Inequalities for General Quantum Networks

, 2018
The correlations in quantum networks have attracted strong interest with new types of violations of the locality. The standard Bell inequalities cannot characterize the multipartite correlations that are generated by multiple sources. The main problem is
Luo, Ming-Xing
core   +1 more source

Characterization of Structural Building Damage in Post-Disaster Using GLCM-PCA Analysis Integration

IEEE Access
Objective: To determine the characteristics of a building after a natural disaster using image input through the integration of image analysis techniques. Methods: Several image analysis techniques, including GLCM and PCA, were employed. The GLCM process
Agung Teguh Wibowo Almais, Adi Susilo, Agus Naba, Moechammad Sarosa, Alamsyah Muhammad Juwono, Cahyo Crysdian, Muhammad Aziz Muslim, Hendro Wicaksono   +7 more
doaj   +1 more source