Search Results - subject:"Image Classification"

A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images

Hamal, Susmita; Mishra, Bhupesh Kumar; Baldock, Robert; … - In: Decision analytics journal 11 (2024), pp. 1-15

Machine intelligence has the potential to play a significant role in diagnosing, managing, and guiding the treatment of disease, which supports the rising demands on healthcare to provide rapid and accurate interpretation of clinical data. The global pandemic caused by the Severe Acute...

Persistent link: https://www.econbiz.de/10015107865

An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management

Islam, Md Azharul; Rashid, Shawkh Ibne; Hossain, Niamat … - In: Decision analytics journal 7 (2023), pp. 1-13

identify flood-affected areas with image classification. The proposed integrated approach can be used to deliver relief on a … can effectively detect flood severity. The Inception v3 shows better performance than DenseNet in terms of image … classification. The Inception v3 and DenseNet architectures achieve 83% and 81% accuracy in our self-made flood level dataset …

Persistent link: https://www.econbiz.de/10014436566

Comparative study of image processing algorithms to detect defects in cast components

Muralidhar, Nikith - In: DBS business review : an international academic … 5 (2023), pp. 59-73

Persistent link: https://www.econbiz.de/10014252376

The use of transfer learning with very deep convolutional neural network in quality management

Kłosowski, Grzegorz; Kulisz, Monika; Lipski, Jerzy; … - In: European research studies 24 (2021) 2, pp. 253-263

Persistent link: https://www.econbiz.de/10012663877

Satellite-based tree cover mapping for forest conservation in the drylands of Sub Saharan Africa (SSA): Application to Burkina Faso gazetted forests

Adjognon, Guigonan Serge; Rivera-Ballesteros, Alexis; … - In: Development Engineering 4 (2019), pp. 1-11

While monitoring the effectiveness of forest conservation programs requires accurate data on (changes in) forest cover, many countries still lack the ability to map local forest inventory, especially in the drylands of Africa where forest areas are very sparsely covered. In this paper, we...

Persistent link: https://www.econbiz.de/10012623043

Satellite-based tree cover mapping for forest conservation in the drylands of Sub Saharan Africa (SSA) : application to Burkina Faso gazetted forests

Adjognon, Guigonan Serge; Rivera-Ballesteros, Alexis; … - In: Development engineering 4 (2019), pp. 2-11

Persistent link: https://www.econbiz.de/10012040167

Remote Sensing Image Classification Based on Decision Tree in the Karst Rocky Desertification Areas: A Case Study of Kaizuo Township

Ma, Shuyong; Zhu, Xinglei; An, Yulun - In: Asian Agricultural Research 06 (2014) 07

is a new technology for remote sensing image classification. In this study, we select the rocky desertification areas …

Persistent link: https://www.econbiz.de/10011168160

Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review - Current Status and Future Potential

Irshad, H.; Veillard, A.; Roux, L.; Racoceanu, D. - Institute for Quantitative Social Science, Harvard …

Digital pathology represents one of the major evolutions in modern medicine. Pathological examinations constitute the gold standard in many medical protocols, and also play a critical and legal role in the diagnosis process. In the conventional cancer diagnosis, pathologists analyze biopsies to...

Persistent link: https://www.econbiz.de/10011098206