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相关论文: Breast Cancer Detection using Histopathological Im…

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Breast cancer is still the second top cause of cancer deaths worldwide and this emphasizes the importance of necessary steps for early detection. Traditional diagnostic methods, such as mammography, ultrasound, and thermography, which have…

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…

图像与视频处理 · 电气工程与系统科学 2020-11-03 Ange Lou , Shuyue Guan , Nada Kamona , Murray Loew

Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the…

计算机视觉与模式识别 · 计算机科学 2019-04-18 Jonathan de Matos , Alceu de Souza Britto , Luiz E. S. Oliveira , Alessandro L. Koerich

Breast cancer investigation is of great significance, and developing tumor detection methodologies is a critical need. However, it is a challenging task for breast ultrasound due to the complicated breast structure and poor quality of the…

计算机视觉与模式识别 · 计算机科学 2019-10-24 Fei Xu , Yingtao Zhang , Min Xian , H. D. Cheng , Boyu Zhang , Jianrui Ding , Chunping Ning , Ying Wang

Cancer is the uncontrollable cell division of abnormal cells inside the human body, which can spread to other body organs. It is one of the non-communicable diseases (NCDs) and NCDs accounts for 71% of total deaths worldwide whereas lung…

图像与视频处理 · 电气工程与系统科学 2021-12-28 Neha Baranwal , Preethi Doravari , Renu Kachhoria

Precision medicine has become a central focus in breast cancer management, advancing beyond conventional methods to deliver more precise and individualized therapies. Traditionally, histopathology images have been used primarily for…

定量方法 · 定量生物学 2024-12-17 Suchithra Kunhoth , Somaya Al- Maadeed , Younes Akbari , Rafif Al Saady

Accurate prediction of the likelihood of recurrence is important in the selection of postoperative treatment for patients with early-stage breast cancer. In this study, we investigated whether deep learning algorithms can predict patients'…

图像与视频处理 · 电气工程与系统科学 2025-12-22 Geongyu Lee , Joonho Lee , Tae-Yeong Kwak , Sun Woo Kim , Youngmee Kwon , Chungyeul Kim , Hyeyoon Chang

Skin cancer is one of the most common forms of cancer and its incidence is projected to rise over the next decade. Artificial intelligence is a viable solution to the issue of providing quality care to patients in areas lacking access to…

计算机视觉与模式识别 · 计算机科学 2018-08-07 Nithin D Reddy

Due to the heavy burden on medical institutes and computer-aided image diagnostics (CAD) have been gaining importance in diagnostic medicine to aid the medical staff to attain better service for the patients. Breast cancer is a fatal…

定量方法 · 定量生物学 2023-03-24 Musaddiq Al Ali , Amjad Y. Sahib , Muazez Al Ali

This paper presents a tumor detection algorithm from mammogram. The proposed system focuses on the solution of two problems. One is how to detect tumors as suspicious regions with a very weak contrast to their background and another is how…

机器学习 · 计算机科学 2009-12-14 Y. Ireaneus Anna Rejani , S. Thamarai Selvi

The clinical management of breast cancer depends on an accurate understanding of the tumor and its anatomical context to adjacent tissues and landmark structures. This context may be provided by semantic segmentation methods; however,…

图像与视频处理 · 电气工程与系统科学 2023-11-29 Arda Pekis , Vignesh Kannan , Evandros Kaklamanos , Anu Antony , Snehal Patel , Tyler Earnest

In healthcare, it is essential to explain the decision-making process of machine learning models to establish the trustworthiness of clinicians. This paper introduces BI-RADS-Net, a novel explainable deep learning approach for cancer…

计算机视觉与模式识别 · 计算机科学 2021-10-11 Boyu Zhang , Aleksandar Vakanski , Min Xian

Cancer diseases constitute one of the most significant societal challenges. In this paper, we introduce a novel histopathological dataset for prostate cancer detection. The proposed dataset, consisting of over 2.6 million tissue patches…

The advent of digital pathology presents opportunities for computer vision for fast, accurate, and objective solutions for histopathological images and aid in knowledge discovery. This work uses deep learning to predict genomic biomarkers -…

计算机视觉与模式识别 · 计算机科学 2021-03-16 Ruchi Chauhan , PK Vinod , CV Jawahar

In the current technological era, the medical profession has emerged as one of the researchers' favorite subject areas, and cancer is one of them. Because there is now no effective treatment for this illness, it is a matter of concern. Only…

机器学习 · 计算机科学 2024-10-23 Praneeth Kumar T , Nidhi Srivastava , Rakshith Mahishi , Chayadevi M L

Breast cancer is a leading cause of death among women globally, and early detection is critical for improving survival rates. This paper introduces an innovative framework that integrates Vision Transformers (ViT) and Graph Neural Networks…

计算机视觉与模式识别 · 计算机科学 2025-07-21 Yeming Cai , Zhenglin Li , Yang Wang

Colon and Lung cancer is one of the most perilous and dangerous ailments that individuals are enduring worldwide and has become a general medical problem. To lessen the risk of death, a legitimate and early finding is particularly required.…

计算机视觉与模式识别 · 计算机科学 2021-03-24 Satvik Garg , Somya Garg

Breast cancer is the most diagnosed cancer and the most predominant cause of death in women worldwide. Imaging techniques such as the breast cancer pathology helps in the diagnosis and monitoring of the disease. However identification of…

图像与视频处理 · 电气工程与系统科学 2019-08-06 Francisco Perdigon Romero , An Tang , Samuel Kadoury

Cervical cancer will cause 460 000 deaths per year by 2040, approximately 90% are Sub-Saharan African women. A constantly increasing incidence in Africa making cervical cancer a priority by the World Health Organization (WHO) in terms of…

计算机视觉与模式识别 · 计算机科学 2020-05-29 Ferdaous Idlahcen , Mohammed Majid Himmi , Abdelhak Mahmoudi

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…