Medical Imaging
MATLAB code for the proposed Single-shot Super-Resolution Phase Retrieval (SSR-PR) algorithm.
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100 Views
Optical coherence tomography (OCT) is a powerful technology for monitoring and diagnosing eye diseases. However, speckle noise is not beneficialfor improving OCT image quality and further image analysis,such as segmentation of the retinal layer.Inspired by the rapid development of deep learning, several methods have been proposed for OCT denoising, and promising results have been obtained.
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414 Views
This dataset includes two 3D models in .stl format:
- a reference frame (RF) for surgical navigation. It contains three branches for the attachment of spherical (passive) optical markers.
- a socket for the insertion of the RF. The socket model can be added to the design of a surgical guide.
These models were designed to be 3D printed with a Formlabs Form 2 3D printer in resin.
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94 Views
This dataset is in support of my 2 research papers ' '.
Preprint :
- Part I :
- Part II :
Related Claim : Novel ß Non-Linear Theory, Novel ß Solar Boost Converter and Novel ß Power Boost DC-DC Converter in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller'
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1485 Views
This dataset was acquired at the Radboud University Medical Center, Nijmegen, the Netherlands and enriched with landmarks by Fraunhofer MEVIS. It consists of nine datasets of consecutive sections, each containing four slides stained with H&E, CD8, CD45, Ki67, respectively.
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450 Views
The University of Turin (UniTO) released the open-access dataset Stoke collected for the homonymous Use Case 3 in the DeepHealth project (https://deephealth-project.eu/). UniToBrain is a dataset of Computed Tomography (CT) perfusion images (CTP).
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1637 Views
The region-based segmentation approach has been a major research area for many medical image applications. A vision guided autonomous system has used region-based segmentation information to operate heavy machinery and locomotive machines intended for computer vision applications. The dataset contains raw images in .png format fro brain tumor in various portions of brain.The dataset can be used fro training and testing. Images are calssified into three main regions as frontal lobe(level -1, level-2), optus-lobe(level-1), medula_lobe(level-1,level-2,level-3).
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7753 Views
The dataset contains 236 X-ray images, all of which include the top of the head to the middle of the thigh. The included patients are 18-80 years old, and treated to the department of orthopedics due to low back pain or spinal deformity. The original size of the X-ray images is around 3000×7000px.
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3015 Views
Microwave-based breast cancer detection is a growing field that has been investigated as a potential novel method for breast cancer detection. Breast microwave sensing (BMS) systems use low-powered, non-ionizing microwave signals to interrogate the breast tissues. While some BMS systems have been evaluated in clinical trials, many challenges remain before these systems can be used as a viable clinical option, and breast phantoms (breast models) allow for rigorous and controlled experimental investigations.
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1316 Views
1.Visualization of convolutional neural network layers for one participant at ROI 301 * 301
2.Convolutional neural network structure analysis in Matlab
3.Convolutional neural network Matlab code
4.Videos of brightness mode (B-mode) ultrasound images from two participants during the recorded walking trials at 5 different speeds
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631 Views