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With the advent of publicly available AI-based text-to-image systems, the process of creating photorealistic but fully synthetic images has been largely democratized. This can pose a threat to the public through a simplified spread of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Philipp Moeßner , Heike Adel

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-18 Jonathan de Matos , Alceu de Souza Britto , Luiz E. S. Oliveira , Alessandro L. Koerich

Non-invasive imaging plays a crucial role in the early detection, diagnosis, and treatment of numerous medical conditions. This article discusses recent advancements in coherent imaging techniques.The article begins by discussing the…

Image and Video Processing · Electrical Eng. & Systems 2024-04-04 Boyang Li

In life sciences, fluorescent labeling techniques are used to study molecular structures and interactions of cells. However, this type of cell imaging has its own limitations, one of which is that the process of staining the cells could be…

Image and Video Processing · Electrical Eng. & Systems 2020-05-07 Eunjae Kim

In recent months, the monkeypox (mpox) virus -- previously endemic in a limited area of the world -- has started spreading in multiple countries until being declared a ``public health emergency of international concern'' by the World Health…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Mattia Giovanni Campana , Marco Colussi , Franca Delmastro , Sergio Mascetti , Elena Pagani

Many properties of commonly used materials are driven by their microstructure, which can be influenced by the composition and manufacturing processes. To optimise future materials, understanding the microstructure is critically important.…

Medical imaging is the most important tool for detecting complications in the inner body of medicine. Nowadays, with the development of image processing technology as well as changing the size of photos to higher resolution images in the…

Image and Video Processing · Electrical Eng. & Systems 2022-07-19 Mahmoudreza Moghimhanjani , Ali Taghavirashidizadeh

Over the past decade, several image-processing methods and algorithms have been proposed for identifying plant diseases based on visual data. DNN (Deep Neural Networks) have recently become popular for this task. Both traditional image…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Mahendra Kumar Gohil , Anirudha Bhattacharjee , Rwik Rana , Kishan Lal , Samir Kumar Biswas , Nachiketa Tiwari , Bishakh Bhattacharya

Due to its specificity, fluorescence microscopy (FM) has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit FM's utility. Recently, it has been shown that…

Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet. Even though Egypt is the highest rice producer in Africa with a share of 6 million tons per year, it still imports rice to satisfy its…

Computer Vision and Pattern Recognition · Computer Science 2023-09-13 Yara Ali Alnaggar , Ahmad Sebaq , Karim Amer , ElSayed Naeem , Mohamed Elhelw

A disease that limits a plant from its maximal capacity is defined as plant disease. From the perspective of agriculture, diagnosing plant disease is crucial, as diseases often limit plants' production capacity. However, manual approaches…

Computer Vision and Pattern Recognition · Computer Science 2020-11-11 Muhammad Mohsin Kabir , Abu Quwsar Ohi , M. F. Mridha

Rice is the number one staple food in the country, as this serves as the primary livelihood for thousands of Filipino households. However, as the tradition continues, farmers are not familiar with the different types of rice leaf diseases…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Harold Costales , Arpee Callejo-Arruejo , Noel Rafanan

Plant disease detection is a huge problem and often require professional help to detect the disease. This research focuses on creating a deep learning model that detects the type of disease that affected the plant from the images of the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-12 Anjaneya Teja Sarma Kalvakolanu

Plant parasitic nematodes cause damage to crop plants on a global scale. Robust detection on image data is a prerequisite for monitoring such nematodes, as well as for many biological studies involving the nematode C. elegans, a common…

Computer Vision and Pattern Recognition · Computer Science 2020-04-22 Long Chen , Martin Strauch , Matthias Daub , Xiaochen Jiang , Marcus Jansen , Hans-Georg Luigs , Susanne Schultz-Kuhlmann , Stefan Krüssel , Dorif Merhof

Protein-protein interactions (PPIs) are of fundamental importance for the human body, and the knowledge of their existence can facilitate very important tasks like drug target developing and therapy design. The high-throughput experiments…

Molecular Networks · Quantitative Biology 2019-10-11 Andrea Moscatelli

The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide the first deep investigation of the predictive potential of machine…

Machine Learning · Statistics 2024-02-20 Rosa Aghdam , Xudong Tang , Shan Shan , Richard Lankau , Claudia Solís-Lemus

Successful Artificial Intelligence systems often require numerous labeled data to extract information from document images. In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in…

Information Retrieval · Computer Science 2022-09-27 Bao-Sinh Nguyen , Dung Tien Le , Hieu M. Vu , Tuan Anh D. Nguyen , Minh-Tien Nguyen , Hung Le

Soybean is one of the ten greatest crops in the world, answering for billion-dollar businesses every year. This crop suffers from insect herbivory that costs millions from producers. Hence, constant monitoring of the crop foliar damage is…

Computer Vision and Pattern Recognition · Computer Science 2016-09-28 Bruno Machado , Jonatan Orue , Mauro Arruda , Cleidimar Santos , Diogo Sarath , Wesley Goncalves , Gercina Silva , Hemerson Pistori , Antonia Roel , Jose Rodrigues-Jr

With the prevalence of plastics exceeding 368 million tons yearly, microplastic pollution has grown to an extent where air, water, soil, and living organisms have all tested positive for microplastic presence. These particles, which are…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Riju Marwah , Riya Arora , Navneet Yadav , Himank Arora

Wheat is one of the major staple crops across the globe. Therefore, it is mandatory to measure, maintain and improve the wheat quality for human consumption. Traditional wheat quality measurement methods are mostly invasive, destructive and…

Computer Vision and Pattern Recognition · Computer Science 2022-09-14 Priyabrata Karmakar , Shyh Wei Teng. Manzur Murshed , Paul Pang , Cuong Van Bui
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