Results 91 to 100 of about 9,200 (172)

Developing an Improved Cycle Architecture for AI-Based Generation of New Structures Aimed at Drug Discovery

Molecules
Drug discovery involves a crucial step of optimizing molecules with the desired structural groups. In the domain of computer-aided drug discovery, deep learning has emerged as a prominent technique in molecular modeling.
Chun Zhang, Liangxu Xie, Xiaohua Lu, Rongzhi Mao, Lei Xu, Xiaojun Xu   +5 more
doaj   +1 more source

Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region

Radiation Oncology
Rationale and objectives This study evaluated StarGAN, a deep learning model designed to generate synthetic computed tomography (sCT) images from magnetic resonance imaging (MRI) and cone-beam computed tomography (CBCT) data using a single model.
Paritt Wongtrakool, Chanon Puttanawarut, Pimolpun Changkaew, Supakiet Piasanthia, Pareena Earwong, Nauljun Stansook, Suphalak Khachonkham   +6 more
doaj   +1 more source

Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset

IEEE Access
Global food security is seriously threatened by wheat leaf disease, which makes effective and precise disease detection and classification techniques necessary.
Syed Taha Yeasin Ramadan, Tanjim Sakib, Fahmid Al Farid, Md. Shofiqul Islam, Junaidi Bin Abdullah, Md Roman Bhuiyan, Sarina Mansor, Hezerul Bin Abdul Karim   +7 more
doaj   +1 more source

Enhanced CycleGAN Dehazing Network

Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021
Vassilis Athitsos, Zahra Anvari
openaire   +1 more source

Multi-Scale Cross-Domain Augmentation of Tea Datasets via Enhanced Cycle Adversarial Networks

Agriculture
To tackle phenotypic variability and detection accuracy issues of tea shoots in open-air gardens due to lighting and varietal differences, this study proposes Tea CycleGAN and a data augmentation method.
Taojie Yu, Jianneng Chen, Zhiyong Gui, Jiangming Jia, Yatao Li, Chennan Yu, Chuanyu Wu   +6 more
doaj   +1 more source

DCA-CycleGAN: Unsupervised single image dehazing using Dark Channel Attention optimized CycleGAN

Journal of Visual Communication and Image Representation, 2022
Yaozong Mo, Chaofeng Li, Yuhui Zheng, Xiaojun Wu   +3 more
openaire   +1 more source

Synthetic CT generation based on CBCT using improved vision transformer CycleGAN

Scientific Reports
Cone-beam computed tomography (CBCT) is a crucial component of adaptive radiation therapy; however, it frequently encounters challenges such as artifacts and noise, significantly constraining its clinical utility.
Yuxin Hu, Han Zhou, Ning Cao, Can Li, Can Hu   +4 more
doaj   +1 more source

A Ceramic Rare Defect Amplification Method Based on TC-CycleGAN. [PDF]

Sensors (Basel)
Zeng Z, Dang C, Ma Z, Li J, Li Z.
europepmc   +1 more source

Assessment of early gastric cancer visibility in deep-learning-based virtual indigo carmine chromoendoscopy (with video). [PDF]

Endosc Int Open
Takasu A, Suzuki S, Monno Y, Minai M, Hirasawa T, Yamamoto H, Ishibashi F, Nishizawa T, Okutomi M, Tada T.   +9 more
europepmc   +1 more source

Enhanced Object Detection Algorithms in Complex Environments via Improved CycleGAN Data Augmentation and AS-YOLO Framework. [PDF]

J Imaging
Li Z, Wang Y, Meng L, Chu W, Yang G.
europepmc   +1 more source