Sakshi, V Kukreja - Archives of Computational Methods in Engineering, 2023 - Springer
Segmentation has been a rooted area of research having diverse dimensions. The roots of image segmentation and its associated techniques have supported computer vision, pattern …
C Tang, G Zhang, H Hu, P Wei, Z Duan, Y Qian - Aquacultural Engineering, 2020 - Elsevier
Traditional methods of breeding soft-shell crabs mainly rely on manual identification, which has high costs regarding manpower and resources. Manual inspection may also interfere …
Breast cancer is the second prevalent type of cancer among women. Breast Ultrasound (BUS) imaging is one of the most frequently used diagnostic tools to detect and classify …
S Desai, R Kanphade, R Priyadarshi… - IETE Journal of …, 2023 - Taylor & Francis
Classification and feature extraction are other planned areas of study, since they build upon the basis of computer picture processing technology and have a direct impact on the results …
In this article an in-depth overview is presented on Computer aided diagnostic (CAD) system's usage for liver cancer. Besides, in a broader sense highlighting the technical …
D Parasar, VR Rathod - International Journal of Signal and …, 2017 - inderscienceonline.com
The purpose of medical image segmentation is to extract information such as volume, shape, motion of organs for detecting abnormalities from the medical image for improvement …
M Mohammdian-Khoshnoud, AR Soltanian… - BMC Molecular and Cell …, 2022 - Springer
Background Image segmentation is considered an important step in image processing. Fuzzy c-means clustering is one of the common methods of image segmentation. However …
Fuzzy classification of remote sensing image allows the characterization and classification of land covers with improved robustness and accuracy. Coarser resolution images contain …