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Feature weighting for cancer tumor detection in mammography images using gravitational search algorithm

Feature weighting for cancer tumor detection in mammography images using gravitational search algorithm Feature weighting for cancer tumor detection in mammography images using gravitational search algorithm Abstract: Optimization methods have been widely used in image processing and computer vision. In this paper, k-nearest neighbor (KNN) and real-valued gravitational search algorithm (RGSA) are used to detect the breast cancer tumors in mammography images. GSA is used as a tool for optimization of the features weighting (FW) and tuning the classifier. FW-KNN based on GSA…

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A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging

A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging Abstract: Goal: The purpose of this paper is to develop a classification method that combines both spectral and spatial information for distinguishing cancer from healthy tissue on hyperspectral images in an animal model. Methods: An automated algorithm based on a minimum spanning forest (MSF) and optimal band selection has been proposed to classify healthy and cancerous tissue on hyperspectral…

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Rapid, Label-Free, and Highly Sensitive Detection of Cervical Cancer With Fluorescence Lifetime Imaging Microscopy

Rapid, Label-Free, and Highly Sensitive Detection of Cervical Cancer With Fluorescence Lifetime Imaging Microscopy Rapid, Label-Free, and Highly Sensitive Detection of Cervical Cancer With Fluorescence Lifetime Imaging Microscopy Abstract: Cervical cancer is the second most common cancer in women worldwide and early detection of cervical cancer is crucial to improve the performance of treatment. Autofluorescence arising from cells and tissues can provide information of cellular energy metabolism. Fluorescence lifetime imaging microscopy (FLIM) can be used to detect the metabolism change indicating the development…

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Infrared Fluorescence-Based Cancer Screening Capsule for the Small Intestine

Infrared Fluorescence-Based Cancer Screening Capsule for the Small Intestine Infrared Fluorescence-Based Cancer Screening Capsule for the Small Intestine Abstract: Infrared fluorescence endoscopy (IRFE), in conjunction with an infrared fluorescent-labelling contrast agent, is a well known technique used for efficient early-stage cancer detection. In this paper we present a cost-effective ( <;$500) screening capsule prototype, which is able to detect infrared (IR) fluorescence emitted by indocyanine green (ICG) fluorophore dye. Rather than image, the capsule works as a high-sensitivity fluorometer that records fluorescence levels…

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Transurethral Photoacoustic Endoscopy for Prostate Cancer: A Simulation Study

Transurethral Photoacoustic Endoscopy for Prostate Cancer: A Simulation Study Transurethral Photoacoustic Endoscopy for Prostate Cancer: A Simulation Study Abstract: The purpose of this study was to optimize the configuration of a photoacoustic endoscope (PAE) for prostate cancer detection and therapy monitoring. The placement of optical fiber bundles and ultrasound detectors was chosen to maximize the photoacoustic imaging penetration depth. We performed both theoretical calculations and simulations of this optimized PAE configuration on a prostate-sized phantom containing tumor and various photosensitizer concentrations. The optimized…

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Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities

Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities Abstract: Smart cities are a future reality for municipalities around the world. Healthcare services play a vital role in the transformation of traditional cities into smart cities. In this paper, we present a ubiquitous and quality computer-aided blood analysis service for the detection and counting of white blood cells (WBCs) in blood samples.…

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Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer

Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer Abstract: Prostate cancer care can benefit from accurate and cost-efficient imaging modalities that are able to reveal prognostic indicators for cancer. Angiogenesis is known to play a central role in the growth of tumors towards a metastatic or a lethal phenotype. With the aim of localizing angiogenic activity in a non-invasive manner, Dynamic Contrast Enhanced Ultrasound (DCE-US) has been widely used.…

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Contrast-Enhanced Ultrasound Angiogenesis Imaging by Mutual Information Analysis for Prostate Cancer Localization

Contrast-Enhanced Ultrasound Angiogenesis Imaging by Mutual Information Analysis for Prostate Cancer Localization Contrast-Enhanced Ultrasound Angiogenesis Imaging by Mutual Information Analysis for Prostate Cancer Localization Abstract: Objective: The role of angiogenesis in cancer growth has stimulated research aimed at noninvasive cancer detection by blood perfusion imaging. Recently, contrast ultrasound dispersion imaging was proposed as an alternative method for angiogenesis imaging. After the intravenous injection of an ultrasound-contrast-agent bolus, dispersion can be indirectly estimated from the local similarity between neighboring time-intensity curves (TICs) measured by…

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Breast Cancer Detection Using PCPCET and ADEWNN: A Geometric Invariant Approach to Medical X-Ray Image Sensors

Breast Cancer Detection Using PCPCET and ADEWNN: A Geometric Invariant Approach to Medical X-Ray Image Sensors Breast Cancer Detection Using PCPCET and ADEWNN: A Geometric Invariant Approach to Medical X-Ray Image Sensors Abstract: In the field of radiology, mammographic screened images (i.e. X-ray image sensing) are very challenging and difficult to interpret. The expert radiologist visually hunts the mammograms for any specific abnormality. However, human factor causes a low degree of precision that often results in biopsy and anxiety for the patient involved.…

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Detection of breast cancer from histopathology image and classifying benign and malignant state using fuzzy logic

Detection of breast cancer from histopathology image and classifying benign and malignant state using fuzzy logic Detection of breast cancer from histopathology image and classifying benign and malignant state using fuzzy logic Abstract: Breast cancer is one of the major public health problem for women throughout the world. It has two states, known as benign and malignant. Benign state is slow growing, rarely spread to other parts of body and have well-defined borders. On the other hand, Malignant state has tendency to grow…

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