15 papers · ranked by Valyu relevance
Pegah Dehbozorgi, Oleg Ryabchykov, Thomas W. Bocklitz
As medical imagery remains the cornerstone of diagnosis, the success of complex classification tasks depends on high-quality data and diagnostic features. This study evaluates image pre-processing and feature extraction to optimize model performance. Our investigation assesses how variations in pre-processing and…
Jéssica Catarino, Nuno Cruz Garcia, Sara Silva, João Santinha
Breast cancer is one of the most common forms of cancer worldwide, making breast imaging a critical area for developing and evaluating Deep Learning methods. In this study, we investigate how different pre-processing techniques influence model performance in breast image segmentation. Pre-processing is a crucial step…
Keumsun Park, Minah Chae, Jae Hyuk Cho
Even though computer vision has been developing, edge detection is still one of the challenges in that field. It comes from the limitations of the complementary metal oxide semiconductor (CMOS) Image sensor used to collect the image data, and then image signal processor (ISP) is additionally required to understand the…
Agata Giełczyk, Anna Marciniak, Martyna Tarczewska, Zbigniew Lutowski + 1 more
To verify how the selected pre-processing method affects the final classification result, we proposed a baseline system. The general overview of this system is presented in [pone.0265949.g002]. The black box visible in [pone.0265949.g002] marks the selected pre-processing method. The pre-processing step is an important…
Akane Shoda, Tomo Miyazaki, Shinichiro Omachi, Jiachen Yang
JPEG is the international standard for still image encoding and is the most widely used compression algorithm because of its simple encoding process and low computational complexity. Recently, many methods have been developed to improve the quality of JPEG images by using deep learning. However, these methods require…
Manuel Mauricio Goez, Maria Constanza Torres-Madroñero, Sarah Röthlisberger, Edilson Delgado-Trejos
'Sarah Röthlisberger' 'Edilson Delgado-Trejos'] Various methods and specialized software programs are available for processing two-dimensional gel electrophoresis (2-DGE) images. However, due to the anomalies present in these images, a reliable, automated, and highly reproducible system for 2-DGE image analysis has…
Yi Deng, Chengyue Xing, Ling Cai
At present, data mining technology is continuously researched in science and application. With the rapid development of remote sensing satellite industry, especially the launch of remote sensing satellites with high-resolution sensors, the amount of information obtained from remote sensing images has increased…
Carlos Cuevas, Daniel Berjón, Narciso García
This paper proposes a strategy to segment the playing field in soccer images, suitable for integration in many soccer image analysis applications. The combination of a green chromaticity-based analysis and an analysis of the chromatic distortion using full-color information, both at the pixel-level, allows segmenting…
Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Stephanie M. Walker + 4 more
'Stephanie M. Walker' 'Harish Raviprakash' 'Ulas Bagci' 'Peter L. Choyke' 'Baris Turkbey'] Title: Abstract. Purpose: Deep learning has achieved major breakthroughs during the past decade in almost every field. There are plenty of publicly available algorithms, each designed to address a different task of computer…
Liangliang Zheng, Wei Xu, Gwanggil Jeon, Renato Machado
Since remote sensing images are one of the main sources for people to obtain required information, the quality of the image becomes particularly important. Nevertheless, noise often inevitably exists in the image, and the targets are usually blurred by the acquisition of the imaging system, resulting in the degradation…
Manuel Mauricio Goez, Maria C. Torres-Madronero, Sarah Rothlisberger, Edilson Delgado-Trejos
'Edilson Delgado-Trejos'] Background Two-dimensional gel electrophoresis (2-DGE) is a commonly used tool for proteomic analysis. This gel-based technique separates proteins in a sample according to their isoelectric point and molecular weight. 2-DGE images often present anomalies due to the acquisition process, such…
Ho Jong Kim, Anuja Shrestha, Eliza Sapkota, Anwit Pokharel + 7 more
'Sarvesh Pandey' 'Cheol Sang Kim' 'Ranjit Shrestha' 'Kaihua Zhang' 'Wanli Xue' 'Bo Liu' 'Guangwei Gao'] Thermal imaging plays a vital role in structural health monitoring of various materials and provides insight into the defect present due to aging, deterioration, and fault during construction. This study investigated…
Časlav Livada, Hrvoje Glavaš, Alfonzo Baumgartner, Dina Jukić + 3 more
'Alicja Kwasniewska' 'M. Hamed Mozaffari' 'Yudong Zhang'] Thermography is probably the most used method of measuring surface temperature by analyzing radiation in the infrared part of the spectrum which accuracy depends on factors such as emissivity and reflected radiation. Contrary to popular belief that thermographic…
Byron Smith, Meyke Hermsen, Elizabeth Lesser, Deepak Ravichandar + 1 more
'Walter Kremers'] Deep learning has pushed the scope of digital pathology beyond simple digitization and telemedicine. The incorporation of these algorithms in routine workflow is on the horizon and maybe a disruptive technology, reducing processing time, and increasing detection of anomalies. While the newest…
B. Aarthy, B. Srutha Keerthi
Digital image processing has a wide range of uses, including robotics and automated inspection of industrial parts. Other uses include remote sensing using satellites and other spacecraft, image transmission and storage for business applications, medical processing, and Acoustic image processing. The process of…