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Histogram Equalization (HE) has been an essential addition to the Image Enhancement world. Enhancement techniques like Classical Histogram Equalization (CHE), Adaptive Histogram Equalization (ADHE), Bi-Histogram Equalization (BHE) and…

Computer Vision and Pattern Recognition · Computer Science 2013-07-12 Sayali Nimkar , Sanal Varghese , Sucheta Shrivastava

Cervical cancer is the seventh most common cancer among all the cancers worldwide and the fourth most common cancer among women. Cervical cytopathology image classification is an important method to diagnose cervical cancer. Manual…

Computer Vision and Pattern Recognition · Computer Science 2022-06-03 Wanli Liu , Chen Li , Ning Xu , Tao Jiang , Md Mamunur Rahaman , Hongzan Sun , Xiangchen Wu , Weiming Hu , Haoyuan Chen , Changhao Sun , Yudong Yao , Marcin Grzegorzek

Breast cancer is a significant cause of death from cancer in women globally, highlighting the need for improved diagnostic imaging to enhance patient outcomes. Accurate tumour identification is essential for diagnosis, treatment, and…

Image and Video Processing · Electrical Eng. & Systems 2024-05-15 Chi-en Amy Tai , Alexander Wong

Pap smear testing has been widely used for detecting cervical cancers based on the morphology properties of cell nuclei in microscopic image. An accurate nuclei segmentation could thus improve the success rate of cervical cancer screening.…

Computer Vision and Pattern Recognition · Computer Science 2019-05-15 Jie Zhao , Quanzheng Li , Xiang Li , Hongfeng Li , Li Zhang

A new approach for tuning the parameters of MultiScale Retinex (MSR) based color image enhancement algorithm using a popular optimization method, namely, Particle Swarm Optimization (PSO) is presented in this paper. The image enhancement…

Computer Vision and Pattern Recognition · Computer Science 2014-09-16 M. C Hanumantharaju , M. Ravishankar , D. R Rameshbabu , V. N Manjunath Aradhya

Feature matching between image pairs is a fundamental problem in computer vision that drives many applications, such as SLAM. Recently, semi-dense matching approaches have achieved substantial performance enhancements and established a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Xiaolong Wang , Lei Yu , Yingying Zhang , Jiangwei Lao , Lixiang Ru , Liheng Zhong , Jingdong Chen , Yu Zhang , Ming Yang

Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) is an important tool for detecting subtle kinetic changes in cancerous tissue. Quantitative analysis of DCE-MRI typically involves the convolution of an arterial input function…

Applications · Statistics 2020-04-22 Volker J. Schmid , Brandon Whitcher , Anwar R. Padhani , Guang-Zhong Yang

Chromatic properties of the multi-prism and prism-array X-ray lenses (MPL and PAL) can potentially be utilized for efficient energy filtering and dose reduction in mammography. The line-shaped foci of the lenses are optimal for coupling to…

Medical Physics · Physics 2021-01-12 Erik Fredenberg , Bjorn Cederstrom , Mats Danielsson

High-quality panoramic images with a Field of View (FoV) of 360{\deg} are essential for contemporary panoramic computer vision tasks. However, conventional imaging systems come with sophisticated lens designs and heavy optical components.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Qi Jiang , Shaohua Gao , Yao Gao , Kailun Yang , Zhonghua Yi , Hao Shi , Lei Sun , Kaiwei Wang

Breast cancer is considered the most critical and frequently diagnosed cancer in women worldwide, leading to an increase in cancer-related mortality. Early and accurate detection is crucial as it can help mitigate possible threats while…

Purpose: Spectral imaging is a method in medical x-ray imaging to extract information about the object constituents by the material-specific energy dependence of x-ray attenuation. The authors have investigated a photon-counting spectral…

Medical Physics · Physics 2021-01-21 Erik Fredenberg , Magnus Hemmendorff , Bjorn Cederstrom , Magnus Aslund , Mats Danielsson

Background: This protocol introduces an ultrasound (US) configuration for whole-body 3D dynamic contrast-enhanced ultrasound (DCE-US) imaging in preclinical applications. The set-up relies on a clinical abdominal matrix US probe to enable…

Compressing and expanding (companding) HDR computerized tomography (CT) images to a single LDR image is still a relevant challenge. Besides the general need for simplification of the window setting method for the purpose of diagnosis, there…

Image and Video Processing · Electrical Eng. & Systems 2020-03-31 Yuval Tamir , Hedva Spitzer , Noam Yarom , Yuval Barkan , Silvina Friedlander Barenboim , Alex Dobriyan

Breast cancer is the most common cancer among women both in developed and developing countries. Early detection and diagnosis of breast cancer may reduce its mortality and improve the quality of life. Computer-aided detection (CADx) and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-23 Sokratis Makrogiannis , Chelsea E. Harris , Keni Zheng

The reconstructed images from the Synthetic Aperture Radar (SAR) data suffer from multiplicative noise as well as low contrast level. These two factors impact the quality of the SAR images significantly and prevent any attempt to extract…

Image and Video Processing · Electrical Eng. & Systems 2024-12-05 Shahrokh Hamidi

Contrastive Language and Image Pairing (CLIP), a transformative method in multimedia retrieval, typically trains two neural networks concurrently to generate joint embeddings for text and image pairs. However, when applied directly, these…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Konstantin Schall , Kai Uwe Barthel , Nico Hezel , Klaus Jung

Screening is critical for prevention and early detection of cervical cancer but it is time-consuming and laborious. Supervised deep convolutional neural networks have been developed to automate pap smear screening and the results are…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Yu Ando , Nora Jee-Young Park and , Gun Oh Chong , Seokhwan Ko , Donghyeon Lee , Junghwan Cho , Hyungsoo Han

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smear test is a widely performed screening technique for early…

Image and Video Processing · Electrical Eng. & Systems 2021-08-31 Md Mamunur Rahaman , Chen Li , Yudong Yao , Frank Kulwa , Xiangchen Wu , Xiaoyan Li , Qian Wang

Document image binarization is the initial step and a crucial in many document analysis and recognition scheme. In fact, it is still a relevant research subject and a fundamental challenge due to its importance and influence. This paper…

Computer Vision and Pattern Recognition · Computer Science 2019-01-29 Omar Boudraa , Walid Khaled Hidouci , Dominique Michelucci

In this paper we describe improvements to the particle swarm optimizer (PSO) made by inclusion of an unscented Kalman filter to guide particle motion. We demonstrate the effectiveness of the unscented Kalman filter PSO by comparing it with…

Neural and Evolutionary Computing · Computer Science 2018-03-21 Chengjia Wang , Keith A. Goatman , James Boardman , Erin Beveridge , David Newby , Scott Semple