Zobrazeno 1 - 10
of 995
pro vyhledávání: '"Medical image classification"'
Autor:
Mohammad Mousavi, Soodeh Hosseini
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract The epidemic diseases such as COVID-19 are rapidly spreading all around the world. The diagnosis of epidemic at initial stage is of high importance to provide medical care to and recovery of infected people as well as protecting the uninfect
Externí odkaz:
https://doaj.org/article/db0c7f4e4a2845e2916cca509cf62050
Publikováno v:
Journal of Bone Oncology, Vol 48, Iss , Pp 100626- (2024)
Objective: Bone tumors, known for their infrequent occurrence and diverse imaging characteristics, require precise differentiation into benign and malignant categories. Existing diagnostic approaches heavily depend on the laborious and variable manua
Externí odkaz:
https://doaj.org/article/60249f5acdd44c958f9cd040bfbb54a7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Over recent years, researchers and practitioners have encountered massive and continuous improvements in the computational resources available for their use. This allowed the use of resource-hungry Machine learning (ML) algorithms to become
Externí odkaz:
https://doaj.org/article/40261d3c75284847870695a2104dd88f
Publikováno v:
IEEE Access, Vol 12, Pp 102745-102773 (2024)
With the continuous advancement of deep neural networks, leveraging deep learning for the classification and diagnosis of medical images to aid physicians in patient diagnosis has gained significant traction. However, the efficacy of deep learning ne
Externí odkaz:
https://doaj.org/article/e3f58f3516d34624a8813bc684af7e34
Autor:
Ruiming Zeng, Boan Qu, Wei Liu, Jianghao Li, Hongshen Li, Pingping Bing, Shuangni Duan, Lemei Zhu
Publikováno v:
IEEE Access, Vol 12, Pp 70825-70832 (2024)
Breast cancer is a type of disease that primarily affects the breast tissue, and it is crucial to achieve early diagnosis for successful treatment and recovery. In recent years, the residual network (ResNet) has gained significant attention in the de
Externí odkaz:
https://doaj.org/article/9ce9961a8cfb49e0b70b78c7020154c4
Publikováno v:
IEEE Access, Vol 12, Pp 6768-6776 (2024)
Diabetic retinopathy (DR) is an irreversible fundus retinopathy. A deep learning-based automated DR diagnosis system can save diagnostic time. While Transformer has shown superior performance compared to Convolutional Neural Network (CNN), it typical
Externí odkaz:
https://doaj.org/article/fc944e2a936042b49dc541367c48fb86
Publikováno v:
IEEE Access, Vol 12, Pp 27331-27343 (2024)
Deep learning has attracted wide attention recently because of its excellent feature representation ability and end-to-end automatic learning method. Especially in clinical medical imaging diagnosis, the semi-supervised deep learning model is favored
Externí odkaz:
https://doaj.org/article/8d06d597c1094f4a8dd047a8c92950f1
An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification
Autor:
Mei-Ling Huang, Zong-Bin Huang
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 1959-1978 (2024)
The timely diagnosis of acute lymphoblastic leukemia (ALL) is of paramount importance for enhancing the treatment efficacy and the survival rates of patients. In this study, we seek to introduce an ensemble-ALL model for the image classification of A
Externí odkaz:
https://doaj.org/article/11e9df027cd14a54a3270410d33abf36
Autor:
Xin Qian, Tengfei Weng, Qi Han, Chen Wu, Hongxiang Xu, Mingyang Hou, Zicheng Qiu, Baoping Zhou, Xianqiang Gao
Publikováno v:
IEEE Access, Vol 12, Pp 2272-2287 (2024)
Deep convolutional neural networks have made some progress in skin lesion classification and cancer diagnosis, but there are still some problems to be solved, such as the challenge of small inter-class feature differences and large intra-class featur
Externí odkaz:
https://doaj.org/article/8b8c56e5f9034c76920601a743cf570c
Publikováno v:
Mathematics, Vol 12, Iss 22, p 3572 (2024)
In semi-supervised learning (SSL) for medical image classification, model performance is often hindered by the scarcity of labeled data and the complexity of unlabeled data. This paper proposes an enhanced SSL approach to address these challenges by
Externí odkaz:
https://doaj.org/article/26aa5c141cd842ff9122f04bc6c18257