Zobrazeno 1 - 10
of 4 642
pro vyhledávání: '"Medical image processing"'
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4411-4421 (2024)
Abstract Timely detection of hard exudates in fundus images can effectively avoid the severity of the disease, but the labelling of small and numerous lesion areas requires a lot of labour costs. This paper proposes a semi‐supervised segmentation n
Externí odkaz:
https://doaj.org/article/293d5867e8e44777b50566a57adcbdab
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 3989-4004 (2024)
Abstract The application of medical image segmentation technology enables accurate localization of human tissues, providing doctors with a reliable foundation for diagnosis. While deep learning methods have proven effective in this task, most current
Externí odkaz:
https://doaj.org/article/38991287d4c0483a8f22fb571828c7ff
Autor:
Vijaya Kumar Velpula, Diksha Sharma, Lakhan Dev Sharma, Amarjit Roy, Manas Kamal Bhuyan, Sultan Alfarhood, Mejdl Safran
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 3827-3853 (2024)
Abstract Glaucoma is an eye disease that damages the optic nerve as a result of vision loss, it is the leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual nature of traditional methods, automation in glaucoma det
Externí odkaz:
https://doaj.org/article/3af1e87c87d04310b27b36b26254f67b
Autor:
Emilio Delgado, Roberto Rodriguez‐Echeverria, Antonio Jesús Fernández‐García, Juan D. Gutiérrez, Miguel Ángel Suero‐Rodrigo
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4047-4065 (2024)
Abstract This study evaluates the effectiveness of three loss functions Asymmetric Unified Focal Loss (AUFL), Dice Similarity Coefficient Loss (DSCL), and Cross‐Entropy (CE) for segmenting COVID‐19 lung infections in computed tomography images. D
Externí odkaz:
https://doaj.org/article/5d46c834617849efb42c496c60f3b963
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4368-4380 (2024)
Abstract With the emergence of computer‐aided diagnostic (CAD) systems, the speed of histopathological image analysis and the accuracy of cancer detection have considerably improved. However, the appearance of histopathological slides can vary depe
Externí odkaz:
https://doaj.org/article/7fdc585d49f342d19dc870218a15fc18
Autor:
Tao Liu, Xukun Zhang, Zhongwei Yang, Minghao Han, Haopeng Kuang, Shuwei Ma, Le Wang, Xiaoying Wang, Lihua Zhang
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 3935-3949 (2024)
Abstract Multi‐organ segmentation from abdominal CT scans is crucial for various medical examinations and diagnoses. Despite the remarkable achievements of existing deep‐learning‐based methods, accurately segmenting small organs remains challen
Externí odkaz:
https://doaj.org/article/a5acf9ebfba24090837fb882fceae63a
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 3750-3800 (2024)
Abstract This research investigates advanced approaches in medical image analysis, specifically focusing on segmentation and classification techniques, as well as their integration into multi‐task architectures for lung infections. This research be
Externí odkaz:
https://doaj.org/article/ee1b73dd9666443890e101d342f49139
Autor:
QiaoSu Wang, Qiaomei Ma
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4297-4309 (2024)
Abstract Conventional computed tomography (CT) images often suffer from blurred edges and unclear details. Image super‐resolution methods can significantly enhance CT image quality, thereby improving diagnostic accuracy. To better extract detailed
Externí odkaz:
https://doaj.org/article/f1d25886b0764b178530ef15af44e063
Autor:
Xiaoqian Zhang, Ying Lin, Linxuan Li, Jingyu Zeng, Xianmei Lan, Xinyi Zhang, Yongjian Jia, Ye Tao, Lin Wang, Yu Wang, Yu Li, Yang Zong, Xin Jin, Panhong Liu, Xinyu Cheng, Huanhuan Zhu
Publikováno v:
IET Image Processing, Vol 18, Iss 12, Pp 3128-3142 (2024)
Abstract Glaucoma poses a significant threat to vision, capable of causing irreversible damage and, in severe instances, leading to permanent blindness. Accurate optic cup (OC) and optic disc (OD) segmentation are essential in glaucoma screening. In
Externí odkaz:
https://doaj.org/article/31cd917da36a49c19e3a990380afa9e0
Publikováno v:
IET Image Processing, Vol 18, Iss 12, Pp 3480-3495 (2024)
Abstract Intracranial hematoma, a severe brain injury caused by trauma or cerebrovascular disease, can result in blood accumulation and compression of brain tissue. Untreated cases can cause headaches, impaired consciousness, and even brain tissue da
Externí odkaz:
https://doaj.org/article/7fb889a4509d4c17812fa45ff869d067