Can I read Integrated Image and Location Analysis for Wound Classification: a Deep Learning Approach on EtoBox?
Integrated Image and Location Analysis for Wound Classification: a Deep Learning Approach by Patel, Yash (author);Shah, Tirth (author);Dhar, Mrinal Kanti (author);Zhang, Taiyu (author);Niezgoda, Jeffrey (author);Gopalakrishnan, Sandeep (author);Yu, Zeyun (author) is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Integrated Image and Location Analysis for Wound Classification: a Deep Learning Approach about?
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments. Recognizing this need, we introduce an innovative multi-modal network based on a deep convolutional neural network for categorizing wounds into four categories: diabetic, pressure, surgical, and venous ulcers. Our multi-modal network uses wound images and their corresponding body locations for more precise classification. A unique aspect of our methodology is incorporating a body map system that facilitates accurate wound location tagging, improving upon traditional wound image classification techniques. A distinctive feature of our approach is the integration of models such as VGG16, ResNet152, and EfficientNet within a novel architecture. This architecture includes elements like spatial and channel-wise Squeeze-and-Excitation modules, Axial Attention, and an Adaptive Gated Multi-Layer Perceptron, providing a robust foundation for classification. Our multi-modal network was trained and evaluated on two distinct datasets comprising relevant images and corresponding location information. Notably, our propo
Who reads Integrated Image and Location Analysis for Wound Classification: a Deep Learning Approach?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Patel, Yash (author);Shah, Tirth (author);Dhar, Mrinal Kanti (author);Zhang, Taiyu (author);Niezgoda, Jeffrey (author);Gopalakrishnan, Sandeep (author);Yu, Zeyun (author)
- Publisher
- Springer Science and Business Media LLC
- Published
- 2024
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)