Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Kijsirikul, Boonserm"'
Publikováno v:
IEEE Access, 2022
Automatic lymph node (LN) segmentation and detection for cancer staging are critical. In clinical practice, computed tomography (CT) and positron emission tomography (PET) imaging detect abnormal LNs. Despite its low contrast and variety in nodal siz
Externí odkaz:
http://arxiv.org/abs/2212.11956
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE), 2022
During a pandemic, early prognostication of patient infected rates can reduce the death by ensuring treatment facility and proper resource allocation. In recent months, the number of death and infected rates has increased more distinguished than befo
Externí odkaz:
http://arxiv.org/abs/2207.13056
In medical imaging, Class-Activation Map (CAM) serves as the main explainability tool by pointing to the region of interest. Since the localization accuracy from CAM is constrained by the resolution of the model's feature map, one may expect that seg
Externí odkaz:
http://arxiv.org/abs/2010.11475
In this paper, we propose two modified neural networks based on dual path multi-scale fusion networks (SFANet) and SegNet for accurate and efficient crowd counting. Inspired by SFANet, the first model, which is named M-SFANet, is attached with atrous
Externí odkaz:
http://arxiv.org/abs/2003.05586
Most optimizers including stochastic gradient descent (SGD) and its adaptive gradient derivatives face the same problem where an effective learning rate during the training is vastly different. A learning rate scheduling, mostly tuned by hand, is usu
Externí odkaz:
http://arxiv.org/abs/1912.11493
The ever-growing volume of data of user-generated content on social media provides a nearly unlimited corpus of unlabeled data even in languages where resources are scarce. In this paper, we demonstrate that state-of-the-art results on two Thai socia
Externí odkaz:
http://arxiv.org/abs/1912.01580
Emotion recognition based on EEG has become an active research area. As one of the machine learning models, CNN has been utilized to solve diverse problems including issues in this domain. In this work, a study of CNN and its spatiotemporal feature e
Externí odkaz:
http://arxiv.org/abs/1910.09719
Autor:
Watanabe, Naoki, Iwahori, Yuji, Fukui, Shinji, Okazaki, Akihiko, Kantavat, Pittipol, Kijsirikul, Boonserm, Takeshita, Hiroyuki, Hayashi, Yoshitsugu
Publikováno v:
In Procedia Computer Science 2023 225:2361-2370
Autor:
Kantavat, Pittipol, Kijsirikul, Boonserm, Songsiri, Patoomsiri, Fukui, Ken-ichi, Numao, Masayuki
We propose new methods for Support Vector Machines (SVMs) using tree architecture for multi-class classi- fication. In each node of the tree, we select an appropriate binary classifier using entropy and generalization error estimation, then group the
Externí odkaz:
http://arxiv.org/abs/1708.08231
Autor:
Abu Bakar, Rana1,2 (AUTHOR) engranaabubakar@gmail.com, Kijsirikul, Boonserm1 (AUTHOR) engranaabubakar@gmail.com
Publikováno v:
Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7541. 27p.