Zobrazeno 1 - 10
of 1 031
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 49, Iss , Pp 100644- (2024)
Objective: The incidence of osteosarcoma (OS) is low, but primary malignant bone tumors rank third among the causes of death in cancer patients under the age of 20. Currently, analysis of cellular structure and tumor morphology through microscopic im
Externí odkaz:
https://doaj.org/article/2cbe3d42b13e4dde91b8c31619bad240
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:
In Knowledge-Based Systems 25 November 2024 304
Autor:
Asif Raza, Shahrulniza Musa, Ahmad Shahrafidz Bin Khalid, Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Fouzia Noor
Publikováno v:
IEEE Access, Vol 12, Pp 177144-177159 (2024)
Effective transfer learning, within medical image classification, is probably one of the most critical areas of research due to the associated complexities with the nature of medical images. These involve variations in the acquisition techniques of i
Externí odkaz:
https://doaj.org/article/02252cad2a1c4143a57545eebe489396
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