Search Results - subject:"Image segmentation"

Combining convolution neural networks with long-short term memory layers to predict Parkinson's disease progression

Frasca, Maria; La Torre, Davide; Pravettoni, Gabriella; … - In: International transactions in operational research : a … 32 (2025) 4, pp. 2159-2188

Persistent link: https://www.econbiz.de/10015338338

UCM-NetV2 : an efficient and accurate deep learning model for skin lesion segmentation

Yuan, Chunyu; Zhao, Dongfang; Agaian, S. S. - In: Journal of economy and technology 3 (2025), pp. 251-263

Accurate segmentation of skin lesions from dermoscopic images is crucial for early skin cancer detection, yet variations in lesion appearance and image artifacts present challenges. This study proposes an efficient deep learning model, UCM-NetV2, to improve accuracy and computational efficiency....

Persistent link: https://www.econbiz.de/10015433610

Mixed-integer linear programming formulations and column generation algorithms for the Minimum Normalized Cuts problem on networks

Ponce, Diego; Puerto, Justo; Temprano, Francisco - In: European journal of operational research : EJOR 316 (2024) 2, pp. 519-538

Persistent link: https://www.econbiz.de/10014574272

A reproducible notebook to acquire, process and analyse satellite imagery : exploring long-term urban changes

Chen, Meixu; Fahrner, Dominik; Arribas-Bel, Daniel; … - In: Region : the journal of ERSA 7 (2020) 2, pp. R15-R46

Satellite imagery is often used to study and monitor Earth surface changes. The open availability and extensive temporal coverage of Landsat imagery has enabled changes in temperature, wind, vegetation and ice melting speed for a period of up to 46 years. Yet, the use of satellite imagery to...

Persistent link: https://www.econbiz.de/10012491435

Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography

Pareek, Kaushal Arun; May, Daniel; Meszmer, Peter; Ras, … - In: Journal of Intelligent Manufacturing 36 (2024) 3, pp. 1879-1905

data was thoroughly investigated at various steps of the framework, and the image segmentation model was trained separately …

Persistent link: https://www.econbiz.de/10015410170

A hybrid cluster technique for improving the efficiency of colour image segmentation

Kumar, Ankit; Raja, Linesh; Dadheech, Pankaj; Bhardwaj, … - In: World review of entrepreneurship, management and … 16 (2020) 6, pp. 665-679

Persistent link: https://www.econbiz.de/10012319108

Automatic product region extraction based on analysis of images uploaded to C2C online market

Futagami, Takuya; Hayasaka, Noboru - In: Journal of organizational computing and electronic commerce 30 (2020) 4, pp. 323-334

Persistent link: https://www.econbiz.de/10012414788

Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks

Brysch, Marco; Bahar, Mohammad; Hohensee, Hans Christoph; … - In: Journal of Intelligent Manufacturing 33 (2022) 7, pp. 2013-2025

techniques such as image segmentation with neural networks provide a new approach to this problem and have the potential to solve … identification of individual tapes, provides accurate measurements which are demonstrated by an example. We show that image … segmentation with modern approaches like SiamMask offers great potential to handle highly complex engineering tasks in a faster and …

Persistent link: https://www.econbiz.de/10015272810

Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process

Meister, Sebastian; Wermes, Mahdieu A. M.; Stüve, Jan; … - In: Journal of Intelligent Manufacturing 32 (2021) 8, pp. 2099-2119

The aerospace industry has established the Automated Fiber Placement process as a common technique for manufacturing fibre reinforced components. In this process multiple composite tows are placed simultaneously onto a tool. Currently in such processes manual testing requires often up to 50% of...

Persistent link: https://www.econbiz.de/10014501797

Maximum inter class variance segmentation algorithm based on decision tree

Yi, Sanli; Zhang, Guifang; He, Jianfeng - In: International journal of information systems in the … 11 (2019) 2, pp. 72-87

Persistent link: https://www.econbiz.de/10012007693