Search Results - Image Segmentation Algorithms et. al. Keywords Segmentation

A bibliometric of publication trends in medical image segmentation: Quantitative and qualitative analysis by Zhang, Bin, Rahmatullah, Bahbibi, Wang, Shir Li, Zhang, Guangnan, Wang, Huan, Ebrahim, Nader Ale

“… Computer algorithms that describe anatomical structures that highlight regions of interest and remove unnecessary information are collectively known as medical image segmentation algorithms…”
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Completely Convex Formulation of the Chan-Vese Image Segmentation Model by Brown, Ethan S., Chan, Tony F., Bresson, Xavier

“… ) is a popular method for computing the segmentation of an image into two phases, based on the piecewise constant Mumford-Shah model…”
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Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks by Chen, Liang, Bentley, Paul, Rueckert, Daniel

“…): one is an ensemble of two DeconvNets (Noh et al., 2015), which is the EDD Net; the second CNN is the multi-scale convolutional label evaluation net (MUSCLE Net…”
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Extracting Masks from Herbarium Specimen Images Based on Object Detection and Image Segmentation Techniques by Ariouat, Hanane, Sklab, Youcef, Pignal, Marc, Vignes Lebbe, Régine, Zucker, Jean-Daniel, Prifti, Edi, Chenin, Eric

“… Data derived from scanned specimen images can be analyzed to answer important questions such as how plants respond to climate change, how different species respond to biotic and abiotic influences…”
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Cell Nuclear Segmentation of B-ALL Images Based on MSFF-SegNeXt by Wang, Xinzheng, Ou, Cuisi, Hu, Zhigang, Ge, Aoru, Wang, Yipei, Cao, Kaiwen

“… To enhance the accuracy of nucleus segmentation of lymphoblastoid cells in B-ALL bone marrow smear images, the Multi-scale Feature Fusion-SegNeXt (MSFF-SegNeXt…”
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Segmentation of Intracranial Hemorrhage Using Semi-Supervised Multi-Task Attention-Based U-Net by Wang, Justin L., Farooq, Hassan, Zhuang, Hanqi, Ibrahim, Ali K.

“… In this paper, we propose a modified u-net and curriculum learning strategy using a multi-task semi-supervised attention-based model, initially introduced by Chen et al…”
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Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine by Gharibshahian, Maliheh, Torkashvand, Mohammad, Bavisi, Mahya, Aldaghi, Niloofar, Alizadeh, Akram

“… The “artificial intelligence,” “machine learning,” “tissue engineering,” “clinical evaluation,” and “scaffold” keywords used for searching in various databases and articles published from 2000 to 2024 were evaluated…”
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POS0273 A MACHINE LEARNING ALGORITHM BASED ON AUTOMATICALLY EXTRACTED IMAGE FEATURES AND CLINICAL DATA ON MORNING STIFFNESS CAN DISTINGUISH PSORIATIC ARTHRITIS PATIENTS FROM CONTROLS IN CLINICAL ROUTINE CARE by Köhm, M., Zerweck, L., Bergmann, T. A., Kratz, H., Antweiler, D., Kugler, S., Tsiami, S., Polyzou, M., Baraliakos, X., Ohrndorf, S., Barton, A., Coates, L. C., Pennington, S. R., Fitzgerald, O., Behrens, F.

“… Artificial intelligence (AI) and natural language processing (NLP) methods provide algorithms for learning systems to recognize disease-related terms and classify…”
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The Pascal Visual Object Classes Challenge: A Retrospective by Everingham, Mark, Eslami, S. M. Ali, Van Gool, Luc, Williams, Christopher K. I., Winn, John, Zisserman, Andrew

“…The Pascal Visual Object Classes (VOC) challenge consists of two components: (i) a publicly available dataset of images together with ground truth annotation and standardised evaluation software; and (ii…”
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Habitat Analysis in Tumor Imaging: Advancing Precision Medicine Through Radiomic Subregion Segmentation by Wu, Ling Xiao, Ding, Ning, Ji, Yi Ding, Zhang, Yi Chi, Li, Meng Juan, Shen, Jia Cheng, Hu, Hai Tao, Jin, Long, Yin, Sheng Nan

“… In this review, we aim to briefly summarize the widely used cluster analysis algorithms in subregion segmentation and the application of habitat analysis in tumor imaging…”
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Mammographic Image Segmentation using Automatic Evolutionary Algorithms by Srinivas, V Sesha, Babu, B Satish, Patibandla, R S M Lakshmi

“…Keyword: Evolutionary Algorithm, Mammograms, Segmentation (ProQuest: ... denotes formulae omitted.) 1…”
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An improved parallel fuzzy connected image segmentation method based on CUDA by Wang, Liansheng, Li, Dong, Huang, Shaohui

“… Therefore, a parallel CUDA version of FC (CUDA-kFOE) was proposed by Ying et al. to accelerate the original FC…”
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Application of artificial intelligence in head and neck tumor segmentation: a comparative systematic review and meta-analysis between PET and PET/CT modalities by Hajimokhtari, Hamed, Soleymanpourshamsi, Tina, Rostamian, Leila, Yousefbeigi, Ailar, Jafari, Soheil, Rezaeiyazdi, Asal, Askari, Mohammadjavad, Khalilian, Maryam, Vafaei, Parsa, Esfahaniani, Mahla, Spagnuolo, Gianrico, Shahnaseri, Shirin, Soltani, Parisa

“…Background For the effective treatment planning of head and neck cancers, precise tumor segmentation is vital…”
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Zone-based keyword spotting in Bangla and Devanagari documents by Bhunia, Ayan Kumar, Roy, Partha Pratim, Sain, Aneeshan, Pal, Umapada

“… in Pattern Recogn 60: 1057-1075, 26 ; Bhunia et al. in Pattern Recogn 79: 12–31, 6 ). Inspired from this idea we consider the zone segmentation approach and use middle zone information to improve the traditional word spotting performance…”
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Retinal Imaging Techniques Based on Machine Learning Models in Recognition and Prediction of Mild Cognitive Impairment by Zhang, Qian, Li, Jun, Bian, Minjie, He, Qin, Shen, Yuxian, Lan, Yue, Huang, Dongfeng

“… MATLAB 2019b was used for fundus image preprocessing and vascular segmentation. Via the Green channel, adaptive histogram equalization (AHE…”
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A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model by Nieuwenhuis, Claudia, Töppe, Eno, Cremers, Daniel

“…We present a survey and a comparison of a variety of algorithms that have been proposed over the years to minimize multi-label optimization problems based on the Potts model…”
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Neuroinformatics and the The Insight ToolKit by Avants, Brian B., Johnson, Hans J., Tustison, Nicholas J.

“…[...]one of the most important contributions, SimpleITK, is outlined by Lowekamp et al…”
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Computer-aided Lymph Node Detection using Pelvic Magnetic Resonance Imaging by Bnouni, Nesrine, Rekik, Islem, Rhim, Mohamed Salah, Amara, Najoua Essoukri Ben

“…Pelvic Lymph Nodes (PLNs) segmentation and classification are fundamental tools in the medical image analysis of pelvic gynecological cancer such as endometrial and cervical cancer…”
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Extracting Data at Scale: Machine learning at the Natural History Museum by Scott, Ben, Livermore, Laurence

“… As of 2020, less than 15% of available specimen information currently residing on specimen labels or physical registers is digitised and publicly available (Walton et al. 2020…”
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Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials by Rodriguez, John, Hamm, Adam, Bensinger, Ethan, Kerti, Samanatha, Gomes, Paul, Ousler III, George, Gupta, Palak, De Moraes, Carlos, Abelson, Mark

“… Images were graded on a 0-4 scale, in 0.5 increments. The model utilizes the DeepLabV3 architecture for image segmentation…”
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