Search Results - Image characteristics driven algorithm development

Beyond rankings: Learning (more) from algorithm validation by Roß, Tobias, Bruno, Pierangela, Reinke, Annika, Wiesenfarth, Manuel, Koeppel, Lisa, Full, Peter M., Pekdemir, Bünyamin, Godau, Patrick, Trofimova, Darya, Isensee, Fabian, Adler, Tim J., Tran, Thuy N., Moccia, Sara, Calimeri, Francesco, Müller-Stich, Beat P., Kopp-Schneider, Annette, Maier-Hein, Lena

“…Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner…”
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Canadian Spine SocietyCPSS-1. Abstract ID 108. Radiographic reporting in adolescent idiopathic scoliosis: Is there a discrepancy between radiologists’ reports and surgeons’ assessments?CPSS-2. Abstract ID 21. Pediatric posterior spinal deformity correction: 30-day postoperative infection rate and risk factorsCPSS-3. Abstract ID 17. “Ultra-low dose” computed tomography without sedation is feasible and should be considered as part of the preoperative optimization pathway in paediatric patients wit: 23rd Annual Scientific Conference, Wednesday, March 1 – Saturday, March 4, Fairmont Le Château Frontenac, Québec, Que., Canada by Birk, Manjot, Chan, Vivien, Yee, Nicholas J., Dimentberg, Evan, Wenghofer, Jessica, Duarte, Matias Pereira, Gholamian, Tara, Yoon, Samuel, Nallet, Jérémie Arthur, Dermott, Jennifer A., Wang, Zhi, Rizkallah, Maroun, Alavi, Fatemeh, Cadieux, Chloe, Cherry, Ahmed, Beange, Kristen, Manoharan, Ragavan, Nasrabadi, Ali Asghar Mohammadi, Walker, Taryn, Herrington, Brandon J., Urquhart, Jennifer, Yang, Michael M. H., Cadieux, Chloe N., Xu, Mark, El-Mughayyar, Dana, Baisamy, Victor, Lung, Tiffany, Crawford, Eric J., Bond, Michael, Bartolozzi, Arthur R., Versteeg, Anne L., MacLean, Mark A., Correale, Marcia Rebecca, Malic, Claudia Cristina, Sarraj, Mohamed, Malhotra, Armaan K., Brittain, Kennedy C.M., Dvorak, Marcel F., Sandarage, Ryan V., Hachem, Laureen D., Shakil, Husain, Rotem-Kohavi, Naama, Dandurand, Charlotte, Greene, Ryan, Leck, Erika, Fernandes, Renan Rodrigues, Evaniew, Nathan, St-Laurent-Lebeux, Loïc, Laflamme, Mathieu, Bak, Alex B., Silva, Yan Gabriel Morais David, Adams, Tyler, Hillier, Troy, Soroceanu, Alex, Ben-Israel, David, Srikandarajah, Nisaharan, Yang, Michael M.H., Silva, Yan, McDonald, James, Althagafi, Alwalaa, Rizzuto, Michael A., Varshney, Vishal P., Elkaim, Lior M., Raj, Aditya, Stratton, Alexandra, Spanninga, Barend, Bailey, Chris S., Levett, Jordan J., Cunningham, Erin, Werier, Joel, Nagata, Kosei, Bonello, John-Peter, Lee, Nathan J., Freire-Archer, Millaray, Bharadwaj, Lalita, Bissonnette, Vincent, Muddaluru, Varun S., Christie, Sean D., Alhawsawi, Mamdoh, Bhatt, Fenil R., Oppermann, Marcelo, Jung, Youngkyung, Koucheki, Robert, Dhawan, Alaina, Orosz, Lindsay D., Ridha, Barzany B., Byers, Elizabeth, Singh, Manmohan, Lawrence, Peyton Lloyd, Bednar, Drew A., Raj, Ruheksh, Chaves, Jennyfer Paulla Galdino, Sidhu, Kara, Filezio, Marina Rosa, Singh, Vishwajeet, Ferri-de-Barros, Fabio, Shumilak, Geoffrey, Nataraj, Andrew, Langston, Holly, Iorio, Carlo

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A study of the landforms and megafaunal characteristics of the Caiwei Guyot area by manned submersible image data-driven technology by Ding, Zhongjun, Wang, Xingyu, Liu, Chen, Ma, Guangyang, Cao, Chanjuan

“…s. This research harnesses data-driven technology to systematically investigate the distributional traits and morphological features of megafaunal organisms, as well as the topographical characteristics…”
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VGGNet and Attention Mechanism-Based Image Quality Assessment Algorithm in Symmetry Edge Intelligence Systems by Shen, Fanfan, Liu, Haipeng, Xu, Chao, Ouyang, Lei, Zhang, Jun, Chen, Yong, He, Yanxiang

“… How to improve the performance of edge devices has become an important challenge. Research on quality evaluation algorithms for brain tumor images remains scarce within symmetry edge intelligence systems…”
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A method for product form design of integrating interactive genetic algorithm with the interval hesitation time and user satisfaction by Wang, Tianxiong, Zhou, Meiyu

“… Through expert interviews, the morphological characteristics and perceptual images factors of the products…”
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Demystification of AI-driven medical image interpretation: past, present and future by Savadjiev, Peter, Chong, Jaron, Dohan, Anthony, Vakalopoulou, Maria, Reinhold, Caroline, Paragios, Nikos, Gallix, Benoit

“… However, the recent success of AI in certain flagship applications has, to some extent, masked decades-long advances in computational technology development for medical image analysis…”
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Advances in Agricultural Engineering Technologies and Application: Volume I

“… There are many challenges in developing advanced agricultural techniques, tools, and systems, by which sustainable agriculture and food security can be satisfied…”
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Advances in Agricultural Engineering Technologies and Application: Volume II

“… There are many challenges in developing advanced agricultural techniques, tools, and systems, by which sustainable agriculture and food security can be satisfied…”
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Development-Driven Diffusion Model for Longitudinal Prediction of Fetal Brain MRI With Unpaired Data by Zhang, Kai, Chen, Geng, Huang, Shijie, Zhu, Fangmei, Ding, Zhongxiang, Shen, Dinggang

“…Longitudinal magnetic resonance imaging (MRI) is essential for studying the early development of the brain, as it allows to observe and analyze how the brain changes over time…”
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Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies by Elmetwalli, Adel H., Derbala, Asaad, Alsudays, Ibtisam Mohammed, Al-Shahari, Eman A., Elhosary, Mahmoud, Elsayed, Salah, Al-Shuraym, Laila A., Moghanm, Farahat S., Elsherbiny, Osama

“…–destructive techniques such as image processing and spectral reflectance would be useful in rapid detection of fruit quality parameters…”
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Characterizing the development of gravity-driven slug flows using high-speed imaging and PIV-PLIF techniques by Holagh, Shahriyar G., Ahmed, Wael H.

“…•Investigated developing gravity-driven air-water and CO2-water slug flows using high-speed imaging and PIV-PLIF…”
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Digital design of regional characteristic apparel pattern driven by GAN by CHEN, HAN, SHEN, LEI, ZHANG, XIYING, REN, XIANGFANG, WANG, MINGMING, MIN, XUE, LI, XUE

“…In the links of apparel product development and production, apparel pattern design cannot reduce its marginal cost through economies of scale because of its creative characteristics…”
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Three-Dimensional Modeling Design and Color Correction Algorithm of Packaging Structure Based on Human Visual Characteristics by Liu, Jinping

“… modeling design, and packaging two-dimensional visual design. On the other hand, this study studies the color correction algorithm of packaging design and proposes a color correction based on the visual characteristics of human eyes…”
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OGAIS: OpenGL-Driven GPU Acceleration Methodology for 3D Hyperspectral Image Simulation by Li, Xiangyu, Zhang, Wenjuan, Wang, Bowen, Qiu, Huaili, Jin, Mengnan, Qi, Peng

“… However, the 3D hyperspectral simulation requires substantial computational resources. With the development of hardware, a graphics processing unit (GPU…”
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YOLOv7oSAR: A Lightweight High-Precision Ship Detection Model for SAR Images Based on the YOLOv7 Algorithm by Liu, Yilin, Ma, Yong, Chen, Fu, Shang, Erping, Yao, Wutao, Zhang, Shuyan, Yang, Jin

“… While these methods outperform traditional algorithms in SAR ship detection, challenges still exist in handling the arbitrary ship distributions and small target features in SAR remote sensing images…”
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Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches by Wei, Jing, Huang, Wei, Li, Zhanqing, Sun, Lin, Zhu, Xiaolin, Yuan, Qiangqiang, Liu, Lei, Cribb, Maureen

“…+), and Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) images. For the development and validation of the algorithm, we first chose the stratified sampling method…”
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Dynamic spectrum-driven hierarchical learning network for polyp segmentation by Wang, Haolin, Wang, Kai-Ni, Hua, Jie, Tang, Yi, Chen, Yang, Zhou, Guang-Quan, Li, Shuo

“… Therefore, this study proposes a novel dynamic spectrum-driven hierarchical learning model (DSHNet…”
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Segmentation algorithms of dental CT images: A comprehensive review from classical to deep learning trend by Wu, Dianhao, Jiang, Jingang, Wang, Jinke, Bi, Zhuming, Yu, Guang

“… This paper systematic reviews 145 articles on dental CT image segmentation. The segmentation method is categorized into classical and deep learning-based algorithms…”
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AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation by Rahman, Md Masudur, Masry, Mohamed El, Gnyawali, Surya C, Xue, Yexiang, Gordillo, Gayle, Wachs, Juan P

“…Burn injuries represent a significant clinical challenge due to the complexity of accurately assessing burn depth, which directly influences the course of…”
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A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms by Jackson, Christopher R., Sriharan, Aravindhan, Vaickus, Louis J.

“…Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A machine learning algorithm that could predict individual cell immunophenotype based on hematoxylin and eosin (H&E…”
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