Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Md Mamunur, Rahaman"'
Autor:
Ao Chen, Chen Li, Md Mamunur Rahaman, Yudong Yao, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Ning Xu, Marcin Grzegorzek
Publikováno v:
Intelligent Medicine, Vol 4, Iss 2, Pp 114-127 (2024)
Background With the gradual increase of infertility in the world, among which male sperm problems are the main factor for infertility, more and more couples are using computer-assisted sperm analysis (CASA) to assist in the analysis and treatment of
Externí odkaz:
https://doaj.org/article/6191c547b3f0488197cfef6b17eb2048
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy. Spatial transcriptomics technologies may address these challenges, as they provide a wealth of information about gene expression at the cel
Externí odkaz:
https://doaj.org/article/23f7e7028ede4886bc5d51d54664e461
Autor:
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict requirements for the preparation of environmental microorganism (EM) dat
Externí odkaz:
https://doaj.org/article/91970ba6a6204523961a4e4a9b7e796e
Autor:
Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang
Publikováno v:
IEEE Access, Vol 8, Pp 114519-114540 (2020)
A behavior description helps analyze tiny objects, similar objects, objects with weak visual information, and objects with similar visual information. It plays a fundamental role in the identification and classification of dynamic objects in microsco
Externí odkaz:
https://doaj.org/article/9f291284ec04494dad9273d526359c89
Autor:
Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Qian Wang, Yong Zhang, Mo Li, Xiaoyan Li, Tao Jiang, Dan Xue, Shouliang Qi, Yueyang Teng
Publikováno v:
IEEE Access, Vol 8, Pp 90931-90956 (2020)
Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role in the diagnosis and treatment of breast cancers. To improve the accu
Externí odkaz:
https://doaj.org/article/9910e9f983b444798f2e06d69b9ed16c
Autor:
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun
Publikováno v:
IEEE Access, Vol 8, Pp 104603-104618 (2020)
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis. However, there have been very few investigations that have described the sta
Externí odkaz:
https://doaj.org/article/4752ee568f2e437d97324a16c1a0866f
Autor:
Md Mamunur Rahaman, Chen Li, Xiangchen Wu, Yudong Yao, Zhijie Hu, Tao Jiang, Xiaoyan Li, Shouliang Qi
Publikováno v:
IEEE Access, Vol 8, Pp 61687-61710 (2020)
Cervical cancer is one of the most common and deadliest cancers among women. Despite that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test is the most extensively performed screening method for early detect
Externí odkaz:
https://doaj.org/article/f557a86d7a5146e9b50869eb89171202
Autor:
Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng
Publikováno v:
IEEE Access, Vol 8, Pp 187455-187469 (2020)
The main obstacle to image augmentation with Generative Adversarial Networks (GANs) is the need for a large amount of training data, but this is difficult for small datasets like Environmental Microorganisms (EMs). EM image analysis plays a vital rol
Externí odkaz:
https://doaj.org/article/77d361bd790342a89d00249bff51c0ae
Autor:
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification. However, image classification of small EM datasets has still not obtained good research results. Therefore, researchers need to s
Externí odkaz:
https://doaj.org/article/77f368a044e942c7b2159eee96392f59
Autor:
Jiawei Zhang, Xin Zhao, Tao Jiang, Md Mamunur Rahaman, Yudong Yao, Yu-Hao Lin, Jinghua Zhang, Ao Pan, Marcin Grzegorzek, Chen Li
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7314 (2022)
This paper proposes a novel pixel interval down-sampling network (PID-Net) for dense tiny object (yeast cells) counting tasks with higher accuracy. The PID-Net is an end-to-end convolutional neural network (CNN) model with an encoder–decoder archit
Externí odkaz:
https://doaj.org/article/e9759925e626433f82a37f6e6bff36ec