Listar por tema "image segmentation"
Mostrando ítems 1-4 de 4
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ADC–CF: Adaptive deep concatenation coder framework for visual question answering
(Elsevier B.V., 2021)Multimodal teaching activity faces significant problems in Visual Question Answering (VQA), which involves simultaneous comprehension with reduced performance fidelity. However, Conventional methods are employed for portrayal ... -
Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks
(Applied Soft Computing, 2022)Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most deep learning ... -
Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering ... -
Multilevel Thresholding for Image Segmentation Using an Improved Electromagnetism Optimization Algorithm
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)Image segmentation is considered one of the most important tasks in image processing, which has several applications in different areas such as; industry agriculture, medicine, etc. In this paper, we develop the electromagnetic ...
