[HTML][HTML] Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Automatic segmentation methods are an important advancement in medical image analysis.
Machine learning techniques, and deep neural networks in particular, are the state-of-the-art …
Machine learning techniques, and deep neural networks in particular, are the state-of-the-art …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
Structural similarity index (SSIM) revisited: A data-driven approach
Several contemporaneous image processing and computer vision systems rely upon the full-
reference image quality assessment (IQA) measures. The single-scale structural similarity …
reference image quality assessment (IQA) measures. The single-scale structural similarity …
A survey on nature-inspired medical image analysis: a step further in biomedical data integration
Natural phenomena and mechanisms have always intrigued humans, inspiring the design of
effective solutions for real-world problems. Indeed, fascinating processes occur in nature …
effective solutions for real-world problems. Indeed, fascinating processes occur in nature …
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
Enhanced region growing for brain tumor MR image segmentation
ES Biratu, F Schwenker, TG Debelee, SR Kebede… - Journal of …, 2021 - mdpi.com
A brain tumor is one of the foremost reasons for the rise in mortality among children and
adults. A brain tumor is a mass of tissue that propagates out of control of the normal forces …
adults. A brain tumor is a mass of tissue that propagates out of control of the normal forces …
[BOOK][B] Computer Vision and Recognition Systems: Research Innovations and Trends
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
An electric fish-based arithmetic optimization algorithm for feature selection
With the widespread use of intelligent information systems, a massive amount of data with
lots of irrelevant, noisy, and redundant features are collected; moreover, many features …
lots of irrelevant, noisy, and redundant features are collected; moreover, many features …
Fingerprint classification based on deep learning approaches: experimental findings and comparisons
Biometric classification plays a key role in fingerprint characterization, especially in the
identification process. In fact, reducing the number of comparisons in biometric recognition …
identification process. In fact, reducing the number of comparisons in biometric recognition …
Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones
Automatic segmentation of the prostate of and the prostatic zones on MRI remains one of the
most compelling research areas. While different image enhancement techniques are …
most compelling research areas. While different image enhancement techniques are …