English
Related papers

Related papers: Two Stage Segmentation of Cervical Tumors using Po…

200 papers

The segmentation of diseases is a popular topic explored by researchers in the field of machine learning. Brain tumors are extremely dangerous and require the utmost precision to segment for a successful surgery. Patients with tumors…

Image and Video Processing · Electrical Eng. & Systems 2022-04-05 Sanskriti Singh

Breast cancer is the second leading cause of death for women in the U.S. Early detection of breast cancer is key to higher survival rates of breast cancer patients. We are investigating infrared (IR) thermography as a noninvasive adjunct to…

Image and Video Processing · Electrical Eng. & Systems 2020-11-03 Ange Lou , Shuyue Guan , Nada Kamona , Murray Loew

Cancer is one of the leading causes of death worldwide, and head and neck (H&N) cancer is amongst the most prevalent types. Positron emission tomography and computed tomography are used to detect, segment and quantify the tumor region.…

Image and Video Processing · Electrical Eng. & Systems 2022-05-13 Ikboljon Sobirov , Otabek Nazarov , Hussain Alasmawi , Mohammad Yaqub

Our understanding of organs at risk is progressing to include physical small tissues such as coronary arteries and the radiosensitivities of many small organs and tissues are high. Therefore, the accurate segmentation of small volumes in…

Image and Video Processing · Electrical Eng. & Systems 2024-04-08 Jianxin Zhou , Kadishe Fejza , Massimiliano Salvatori , Daniele Della Latta , Gregory M. Hermann , Angela Di Fulvio

This paper reports Deep LOGISMOS approach to 3D tumor segmentation by incorporating boundary information derived from deep contextual learning to LOGISMOS - layered optimal graph image segmentation of multiple objects and surfaces. Accurate…

Computer Vision and Pattern Recognition · Computer Science 2018-01-29 Zhihui Guo , Ling Zhang , Le Lu , Mohammadhadi Bagheri , Ronald M. Summers , Milan Sonka , Jianhua Yao

Cervical cancer is one of the most common types of cancer found in females. It contributes to 6-29% of all cancers in women. It is caused by the Human Papilloma Virus (HPV). The 5-year survival chances of cervical cancer range from 17%-92%…

Image and Video Processing · Electrical Eng. & Systems 2022-09-27 Tamanna Sood

Due to cellular heterogeneity, cell nuclei classification, segmentation, and detection from pathological images are challenging tasks. In the last few years, Deep Convolutional Neural Networks (DCNN) approaches have been shown…

Computer Vision and Pattern Recognition · Computer Science 2018-11-09 Md Zahangir Alom , Chris Yakopcic , Tarek M. Taha , Vijayan K. Asari

Breast cancer (BC) remains a significant health threat, with no long-term cure currently available. Early detection is crucial, yet mammography interpretation is hindered by high false positives and negatives. With BC incidence projected to…

Computer Vision and Pattern Recognition · Computer Science 2023-06-22 Jai Vardhan , Taraka Satya Krishna Teja Malisetti

Accurate and scalable cancer diagnosis remains a critical challenge in modern pathology, particularly for malignancies such as breast, prostate, bone, and cervical, which exhibit complex histological variability. In this study, we propose a…

Image and Video Processing · Electrical Eng. & Systems 2025-08-18 Faisal Ahmed

Breast cancer is the second most common malignancy among women and has become a major public health problem in current society. Traditional breast cancer identification requires experienced pathologists to carefully read the breast slice,…

Computer Vision and Pattern Recognition · Computer Science 2018-04-19 Xinpeng Xie , Yuexiang Li , Linlin Shen

Bladder cancer is one of the most prevalent malignancies worldwide, with a recurrence rate of up to 78%, necessitating accurate post-operative monitoring for effective patient management. Multi-sequence contrast-enhanced MRI is commonly…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Xueyang Li , Zongren Wang , Yuliang Zhang , Zixuan Pan , Yu-Jen Chen , Nishchal Sapkota , Gelei Xu , Danny Z. Chen , Yiyu Shi

Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive radiotherapy (MRgART) in head and neck cancer. However, manual segmentation of the GTV over the course of therapy is time-consuming and prone…

Image and Video Processing · Electrical Eng. & Systems 2024-12-03 Xin Tie , Weijie Chen , Zachary Huemann , Brayden Schott , Nuohao Liu , Tyler J. Bradshaw

We propose a novel automatic method for accurate segmentation of the prostate in T2-weighted magnetic resonance imaging (MRI). Our method is based on convolutional neural networks (CNNs). Because of the large variability in the shape, size,…

Image and Video Processing · Electrical Eng. & Systems 2020-01-01 Davood Karimi , Golnoosh Samei , Yanan Shao , Septimiu Salcudean

Breast cancer is the most frequently diagnosed human cancer in the United States at present. Early detection is crucial for its successful treatment. X-ray mammography and digital breast tomosynthesis are currently the main methods for…

It is a challenge to segment the location and size of rectal cancer tumours through deep learning. In this paper, in order to improve the ability of extracting suffi-cient feature information in rectal tumour segmentation, attention…

Image and Video Processing · Electrical Eng. & Systems 2022-10-28 Hongwei Wu , Junlin Wang , Xin Wang , Hui Nan , Yaxin Wang , Haonan Jing , Kaixuan Shi

It is of great significance to diagnose Invasive Ductal Carcinoma (IDC) in early stage, which is the most common subtype of breast cancer. Although the powerful models in the Computer-Aided Diagnosis (CAD) systems provide promising results,…

Image and Video Processing · Electrical Eng. & Systems 2024-11-07 Yujia Lin , Aiwei Lian , Mingyu Liao , Shuangjie Yuan

Brain tumors pose a significant threat to human life, therefore it is very much necessary to detect them accurately in the early stages for better diagnosis and treatment. Brain tumors can be detected by the radiologist manually from the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Sayan Das , Arghadip Biswas

Prostate cancer is one of the common diseases in men, and it is the most common malignant tumor in developed countries. Studies have shown that the male prostate incidence rate is as high as 2.5% to 16%, Currently, the inci-dence of…

Image and Video Processing · Electrical Eng. & Systems 2019-12-23 Xiangxiang Qin

Clinical cystoscopy, the current standard for bladder cancer diagnosis, suffers from significant reliance on physician expertise, leading to variability and subjectivity in diagnostic outcomes. There is an urgent need for objective,…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Jinliang Yu , Mingduo Xie , Yue Wang , Tianfan Fu , Xianglai Xu , Jiajun Wang

Colorectal cancer (CRC) remains a significant cause of cancer-related mortality, despite the widespread implementation of prophylactic initiatives aimed at detecting and removing precancerous polyps. Although screening effectively reduces…

Computer Vision and Pattern Recognition · Computer Science 2026-02-11 Ahmed Rahu , Brian Shula , Brandon Combs , Aqsa Sultana , Surendra P. Singh , Vijayan K. Asari , Derrick Forchetti
‹ Prev 1 4 5 6 7 8 10 Next ›