Results 11 to 20 of about 13,515,348 (328)

UNeXt: MLP-based Rapid Medical Image Segmentation Network [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
UNet and its latest extensions like TransUNet have been the leading medical image segmentation methods in recent years. However, these networks cannot be effectively adopted for rapid image segmentation in point-of-care applications as they are parameter-
Jeya Maria Jose Valanarasu, Vishal M. Patel   +1 more
semanticscholar   +1 more source

Application of transfer learning and ensemble learning in image-level classification for breast histopathology

Intelligent Medicine, 2023
Background: Breast cancer has the highest prevalence among all cancers in women globally. The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.
Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek   +10 more
doaj   +1 more source

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos

IEEE Access, 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 microscopic ...
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   +11 more
doaj   +1 more source

Correlation Between the Dermoscopic Features and the Histopathological Features of Common Erythematosquamous Skin Diseases: the Consensus Statement of Chinese Experts (2021)

Xiehe Yixue Zazhi, 2021
As a non-invasive and rapid diagnostic tool, dermoscopy has been widely applied to erythematosquamous skin diseases, and has significantly improved the efficiency of clinical work and diagnostic accuracy.
Dermatology Branch of China International Exchange and Promoting Association for Medical and Health Care, Huaxia Skin Image and Artificial Intelligence Cooperation, China International Exchange and Promotive Association for Medical and Health Care, Department of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College   +4 more
doaj   +1 more source

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data

IEEE Access, 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 role in
Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng   +9 more
doaj   +1 more source

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
There has been exploding interest in embracing Transformer-based architectures for medical image segmentation. However, the lack of large-scale annotated medical datasets make achieving performances equivalent to those in natural images challenging ...
Saikat Roy, Gregor Koehler, Constantin Ulrich, M. Baumgartner, Jens Petersen, Fabian Isensee, P. Jaeger, Klaus H. Maier-Hein   +7 more
semanticscholar   +1 more source

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

Applied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang, Xin Zhao, Tao Jiang, Jinghua Zhang, Peng Zhao, Ao Chen, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +9 more
doaj   +1 more source

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

IEEE Access, 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 accuracy
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   +13 more
doaj   +1 more source

A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers

Frontiers in Microbiology, 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 spend
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek   +7 more
doaj   +1 more source

Segment Anything Model for Medical Image Analysis: an Experimental Study [PDF]

Medical Image Anal., 2023
Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model trained on over 1 billion annotations, predominantly for natural images ...
M. Mazurowski, Haoyu Dong, Han Gu, Jichen Yang, N. Konz, Yixin Zhang   +5 more
semanticscholar   +1 more source