Results 31 to 40 of about 36,113 (246)
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning [PDF]
, 2017 Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late ...
Aubreville, Marc +9 more
core +4 more sources
Classification of Sambas Traditional Fabric “Kain Lunggi” Using Texture Feature
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Traditional fabric is a cultural heritage that has to be preserved. Kain Lunggi is Sambas traditional fabric that saw a decline in its crafter. To introduce Kain Lunggi in a broader national and global society in order to preserve it, a digital image ...
Alda Cendekia Siregar +1 more
doaj +1 more source
Classification of Coffee Bean Defects Using Gray-Level Co-Occurrence Matrix and K-Nearest Neighbor
Ilkom Jurnal Ilmiah, 2022 Defects in coffee beans can significantly affect the quality of coffee production so that defects in coffee beans can cause a decreasing the level of coffee production.
Mila Jumarlis +2 more
doaj +1 more source
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images [PDF]
, 2018 Breast cancer is one of the most common types of cancer and leading cancer-related death causes for women. In the context of ICIAR 2018 Grand Challenge on Breast Cancer Histology Images, we compare one handcrafted feature extractor and five transfer ...
FA Spanhol +8 more
core +5 more sources
Ilkom Jurnal Ilmiah, 2023 Gorontalo Province is one of the provinces that have fishery potential and has a large sea area that can be managed to support the economy and development of the province.
Zulfrianto Yusrin Lamasigi +2 more
doaj +1 more source
Using Texture Feature in Fruit Classification [PDF]
Engineering and Technology Journal, 2021 Recent advances in computer vision have allowed wide-ranging applications in every area of life. One such area of application is the classification of fresh products, but the classification of fruits and vegetables has proven to be a complex problem and ...
Mauj H. Abd al karim, Abdulamir A. Karim
doaj +1 more source
Gabor-GLCM-Based Texture Feature Extraction Using Flame Image to Predict the O2 Content and NOx
ACS Omega, 2022 Flame image feature extraction is the basis for boiler combustion monitoring and control. The flame video images of recent research are mainly derived from experimental burners in the laboratory, and few pay attention to the flame images in industrial ...
Guotian Yang +4 more
semanticscholar +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 The quality of fruit production is very important because it is related to the value of sales. Data from the Directorate General of Horticulture at the Ministry of Agriculture in 2017 showed that 94,3% of the total yield of citrus fruits is a type of ...
Friska Ayu Listya, Nur Rokhman
doaj +1 more source
Concrete Slump Classification Using GLCM Feature Extraction
Advanced Science, Engineering and Medicine, 2016 Digital image processing technologies have been widely applies in analyzing concrete structure because the accuracy and real time result. The aim of this study is to classify concrete slump by using image processing technique. For this purpose, concrete mix design of 30 MPa compression strength designed with slump of 0-10 mm, 10-30 mm, 30-60 mm, and 60-
Relly Andayani, Syarifudin Madenda
openaire +1 more source
Proposed Classification System by Using Artificial Neural Network [PDF]
Kirkuk Journal of Science, 2015 The research presented in this paper was aimed to develop a recognition system for microscopic images of human tissues samples. The system should classify different types of tissues (i.e., Breast, Liver and blood cells).
Esraa Z. Mohammed
doaj +1 more source