Results 31 to 40 of about 29,416,981 (354)

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, J. Petersen, F. Isensee, P. Jaeger, K. Maier-Hein   +7 more
semanticscholar   +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

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

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

TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
Medical image segmentation - the prerequisite of numerous clinical needs - has been significantly prospered by recent advances in convolutional neural networks (CNNs). However, it exhibits general limitations on modeling explicit long-range relation, and
Yundong Zhang, Huiye Liu, Qiang Hu
semanticscholar   +1 more source

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

IEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun   +9 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, Yi-Xin Zhang   +5 more
semanticscholar   +1 more source

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification, and Detection Method Evaluation

Frontiers in Microbiology, 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) data ...
Peng Zhao, Chen Li, Md Mamunur Rahaman, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek   +10 more
doaj   +1 more source

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
Over the past decade, Deep Convolutional Neural Networks have been widely adopted for medical image segmentation and shown to achieve adequate performance.
Jeya Maria Jose Valanarasu, Poojan Oza, I. Hacihaliloglu, Vishal M. Patel   +3 more
semanticscholar   +1 more source

The CT and MRI Findings and Differential Diagnosis of Sebaceous Carcinoma of Eyelid and Basal Cell Carcinoma

CT Lilun yu yingyong yanjiu, 2022
Objective: To improve the ability of differential diagnosis of sebaceous carcinoma of eyelid and basal cell carcinoma by investigating their CT and MRI findings.
Shuang WU, Wei CAO, Tao ZHANG, Xu XU
doaj   +1 more source