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Computer-aided tumor detection has shown great potential in enhancing the interpretation of over 80 million CT scans performed annually in the United States. However, challenges arise due to the rarity of CT scans with tumors, especially…

Image and Video Processing · Electrical Eng. & Systems 2024-09-11 Qi Chen , Yuxiang Lai , Xiaoxi Chen , Qixin Hu , Alan Yuille , Zongwei Zhou

Breast Ultrasound plays a vital role in cancer diagnosis as a non-invasive approach with cost-effective. In recent years, with the development of deep learning, many CNN-based approaches have been widely researched in both tumor…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Dat T. Chung , Minh-Anh Dang , Mai-Anh Vu , Minh T. Nguyen , Thanh-Huy Nguyen , Vinh Q. Dinh

Mammography is the most effective and available tool for breast cancer screening. However, the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to approximately 70% unnecessary biopsies with…

Machine Learning · Computer Science 2013-06-04 Sahar A. Mokhtar , Alaa. M. Elsayad

Cancer is the main cause of mortality at the developed countries and is the second cause of mortality at the developing countries and breast cancer is the most prevalent malignancy and the first cause of mortality among women of the world.…

Tissues and Organs · Quantitative Biology 2018-12-19 Parisa Teimoori Baghaee , Atena Donya

Immunohistochemistry (IHC) analysis is a well-accepted and widely used method for molecular subtyping, a procedure for prognosis and targeted therapy of breast carcinoma, the most common type of tumor affecting women. There are four…

Image and Video Processing · Electrical Eng. & Systems 2024-06-18 Sumit Kumar Jha , Purnendu Mishra , Shubham Mathur , Gursewak Singh , Rajiv Kumar , Kiran Aatre , Suraj Rengarajan

Melanoma is one of the ten most common cancers in the US. Early detection is crucial for survival, but often the cancer is diagnosed in the fatal stage. Deep learning has the potential to improve cancer detection rates, but its…

Computer Vision and Pattern Recognition · Computer Science 2019-05-16 Devansh Bisla , Anna Choromanska , Jennifer A. Stein , David Polsky , Russell Berman

Breast cancer is the most common malignancy affecting women worldwide and is notable for its morphologic and biologic diversity, with varying risks of recurrence following treatment. The Oncotype DX Breast Recurrence Score test is an…

Breast density classification is an essential part of breast cancer screening. Although a lot of prior work considered this problem as a task for learning algorithms, to our knowledge, all of them used small and not clinically realistic…

Computer Vision and Pattern Recognition · Computer Science 2017-11-13 Nan Wu , Krzysztof J. Geras , Yiqiu Shen , Jingyi Su , S. Gene Kim , Eric Kim , Stacey Wolfson , Linda Moy , Kyunghyun Cho

The growth of abnormal cells in the brain's tissue causes brain tumors. Brain tumors are considered one of the most dangerous disorders in children and adults. It develops quickly, and the patient's survival prospects are slim if not…

Image and Video Processing · Electrical Eng. & Systems 2022-10-26 Al-Akhir Nayan , Ahamad Nokib Mozumder , Md. Rakibul Haque , Fahim Hossain Sifat , Khan Raqib Mahmud , Abul Kalam Al Azad , Muhammad Golam Kibria

The diagnosed cases of Breast cancer is increasing annually and unfortunately getting converted into a high mortality rate. Cancer, at the early stages, is hard to detect because the malicious cells show similar properties (density) as…

Computer Vision and Pattern Recognition · Computer Science 2017-04-13 Deepti Ameta

Clinical diagnostic and treatment decisions rely upon the integration of patient-specific data with clinical reasoning. Cancer presents a unique context that influence treatment decisions, given its diverse forms of disease evolution.…

Image and Video Processing · Electrical Eng. & Systems 2022-12-23 K. Ruwani M. Fernando , Chris P. Tsokos

Detecting cancer manually in whole slide images requires significant time and effort on the laborious process. Recent advances in whole slide image analysis have stimulated the growth and development of machine learning-based approaches…

Image and Video Processing · Electrical Eng. & Systems 2020-06-23 Sanghoon Lee , Colton Farley , Simon Shim , Yanjun Zhao , Wookjin Choi , Wook-Sung Yoo

Breast cancer is the most common invasive cancer in women. Besides the primary B-mode ultrasound screening, sonographers have explored the inclusion of Doppler, strain and shear-wave elasticity imaging to advance the diagnosis. However,…

Image and Video Processing · Electrical Eng. & Systems 2020-08-11 Wang Jian , Miao Juzheng , Yang Xin , Li Rui , Zhou Guangquan , Huang Yuhao , Lin Zehui , Xue Wufeng , Jia Xiaohong , Zhou Jianqiao , Huang Ruobing , Ni Dong

Early detection is crucial for successful cancer treatment and increasing survivability rates, particularly in the most common forms. Ten different cancers have been identified in most of these advances that effectively use CNNs…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Hossein Molaeian , Kaveh Karamjani , Sina Teimouri , Saeed Roshani , Sobhan Roshani

In 2020, prostate cancer saw a staggering 1.4 million new cases, resulting in over 375,000 deaths. The accurate identification of clinically significant prostate cancer is crucial for delivering effective treatment to patients.…

Image and Video Processing · Electrical Eng. & Systems 2024-05-14 Chi-en Amy Tai , Alexander Wong

In this paper, an innovative microwave imaging (MI) approach for breast tumor diagnosis is proposed that employs a differential formulation of the inverse scattering problem (ISP) at hand to exploit arbitrary-fidelity priors on the…

Signal Processing · Electrical Eng. & Systems 2024-01-08 Francesco Zardi , Luca Tosi , Marco Salucci , Andrea Massa

Cancer is one of the most feared diseases in the world it has increased disturbingly and breast cancer occurs in one out of eight women, the prediction of malignancies plays essential roles not only in revealing human genome, but also in…

Computational Engineering, Finance, and Science · Computer Science 2013-03-05 Ayad Ghany Ismaeel , Anar Auda Ablahad

Skin cancer is the most common type of cancer. Specifically, melanoma is the cause of 75% of skin cancer deaths, although it is the least common skin cancer. Better detection of melanoma could have a positive impact on millions of people.…

Computer Vision and Pattern Recognition · Computer Science 2023-02-21 Chengdong Yao

Histopathological images contain rich phenotypic information that can be used to monitor underlying mechanisms contributing to diseases progression and patient survival outcomes. Recently, deep learning has become the mainstream…

Image and Video Processing · Electrical Eng. & Systems 2020-10-28 Chetan L. Srinidhi , Ozan Ciga , Anne L. Martel
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