Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sahadev Poudel"'
Autor:
Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel-Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, JiangPeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly op
Externí odkaz:
https://doaj.org/article/3d626e6de5c5444f94dfea2e49ff5ee3
Publikováno v:
IEEE Access, Vol 11, Pp 49216-49225 (2023)
The incidence of cancer among modern people has recently increased due to various reasons such as eating habits, smoking, and drinking. Therefore, medical image analysis for effective disease diagnosis is considered an extremely important diagnostic
Externí odkaz:
https://doaj.org/article/03f1422accaa412c9743db487ace929b
Autor:
Sahadev Poudel, Sang-Woong Lee
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2780 (2024)
In polyp segmentation, the latest notable topic revolves around polyp generalization, which aims to develop deep learning-based models capable of learning from single or multiple source domains and applying this knowledge to unseen datasets. A signif
Externí odkaz:
https://doaj.org/article/4db2c97c68204f039c1a6185a5411f1a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Polyp segmentation has accomplished massive triumph over the years in the field of supervised learning. However, obtaining a vast number of labeled datasets is commonly challenging in the medical domain. To solve this problem, we employ semi
Externí odkaz:
https://doaj.org/article/2aac8eec98d44b1f816470c415386e97
Publikováno v:
IEEE Access, Vol 8, Pp 99227-99238 (2020)
Computer-aided diagnosis systems developed by computer vision researchers have helped doctors to recognize several endoscopic colorectal diseases more rapidly, which allows appropriate treatment and increases the patient's survival ratio. Herein, we
Externí odkaz:
https://doaj.org/article/603f40d1e9f940e8ade813b22d083b64
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3802 (2020)
In the last few decades, photovoltaic (PV) power station installations have surged across the globe. The output efficiency of these stations deteriorates with the passage of time due to multiple factors such as hotspots, shaded cell or module, short-
Externí odkaz:
https://doaj.org/article/9ecf1170fc684dbeb2728a8703465ba2
Autor:
Hyun-Cheol Park Hyun-Cheol Park, Raman Ghimire Hyun-Cheol Park, Sahadev Poudel Raman Ghimire, Sang-Woong Lee Sahadev Poudel
Publikováno v:
網際網路技術學刊. 23:903-910
Liver cancer is one of the most prevalent cancer deaths worldwide. Thus, early detection and diagnosis of possible liver cancer help in reducing cancer death. Histopathological Image Analysis (HIA) used to be carried out traditionally, but these are
Autor:
Sahadev Poudel, Sang-Woong Lee
Publikováno v:
Nordic Machine Intelligence. 1:41-43
In this nutshell, we propose a simple, efficient, and explainable deep learning-based U-Net algorithm for the MedAI challenge, focusing on precise segmentation of polyp and instrument and transparency on algorithms. We develop a straightforward encod
Publikováno v:
2021 International Conference on Information and Communication Technology Convergence (ICTC).
Autor:
Sang-Woong Lee, Sahadev Poudel
Publikováno v:
ICEA
Whole slide imaging is now being used across the world in pathology labs for an accurate diagnosis of biopsy specimens. However, due to the large size of these images, an automatic deep learning-based method is highly desirable for diagnosing. Herein