English
Related papers

Related papers: BACH: Grand Challenge on Breast Cancer Histology I…

200 papers

Microscopic histology image analysis is a cornerstone in early detection of breast cancer. However these images are very large and manual analysis is error prone and very time consuming. Thus automating this process is in high demand. We…

Computer Vision and Pattern Recognition · Computer Science 2018-10-23 Ismaël Koné , Lahsen Boulmane

Breast cancer is the most frequently diagnosed cancer and leading cause of cancer-related death among females worldwide. In this article, we investigate the applicability of densely connected convolutional neural networks to the problems of…

Computer Vision and Pattern Recognition · Computer Science 2018-04-13 Matthias Kohl , Christoph Walz , Florian Ludwig , Stefan Braunewell , Maximilian Baust

Breast Cancer is a major cause of death worldwide among women. Hematoxylin and Eosin (H&E) stained breast tissue samples from biopsies are observed under microscopes for the primary diagnosis of breast cancer. In this paper, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2018-07-26 Aditya Golatkar , Deepak Anand , Amit Sethi

Breast cancer is one of the leading causes of mortality in women. Early detection and treatment are imperative for improving survival rates, which have steadily increased in recent years as a result of more sophisticated…

Computer Vision and Pattern Recognition · Computer Science 2018-02-27 Sulaiman Vesal , Nishant Ravikumar , AmirAbbas Davari , Stephan Ellmann , Andreas Maier

This paper explores the problem of breast tissue classification of microscopy images. Based on the predominant cancer type the goal is to classify images into four categories of normal, benign, in situ carcinoma, and invasive carcinoma.…

Computer Vision and Pattern Recognition · Computer Science 2018-06-29 Kamyar Nazeri , Azad Aminpour , Mehran Ebrahimi

Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedious and often leads to a disagreement between pathologists.…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Alexander Rakhlin , Alexey Shvets , Vladimir Iglovikov , Alexandr A. Kalinin

Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of breast cancer patients can bring the cost and delays of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Abhijeet Patil , Dipesh Tamboli , Swati Meena , Deepak Anand , Amit Sethi

Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than…

Image and Video Processing · Electrical Eng. & Systems 2022-03-10 Ali Bou Nassif , Manar Abu Talib , Qassim Nasir , Yaman Afadar , Omar Elgendy

Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role in the diagnosis and treatment of breast cancers. To…

Image and Video Processing · Electrical Eng. & Systems 2020-07-02 Xiaomin Zhou , Chen Li , Md Mamunur Rahaman , Yudong Yao , Shiliang Ai , Changhao Sun , Xiaoyan Li , Qian Wang , Tao Jiang

Breast cancer is one of the most common causes of cancer-related death in women worldwide. Early and accurate diagnosis of breast cancer may significantly increase the survival rate of patients. In this study, we aim to develop a fully…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

According to some medical imaging techniques, breast histopathology images called Hematoxylin and Eosin are considered as the gold standard for cancer diagnoses. Based on the idea of dividing the pathologic image (WSI) into multiple…

Image and Video Processing · Electrical Eng. & Systems 2022-07-13 Tat-Bao-Thien Nguyen , Minh-Vuong Ngo , Van-Phong Nguyen

Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis of breast cancer can significantly improve the efficiency of treatment. Computer-aided diagnosis (CAD) systems are widely adopted in this issue due to…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Mohammad Reza Abbasniya , Sayed Ali Sheikholeslamzadeh , Hamid Nasiri , Samaneh Emami

This paper presents results of applying Inception v4 deep convolutional neural network to ICIAR-2018 Breast Cancer Classification Grand Challenge, part a. The Challenge task is to classify breast cancer biopsy results, presented in form of…

Image and Video Processing · Electrical Eng. & Systems 2019-12-11 Mohammad Ibrahim Sarker , Hyongsuk Kim , Denis Tarasov , Dinar Akhmetzanov

For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective…

Accurate diagnosis of breast cancer in histopathology images is challenging due to the heterogeneity of cancer cell growth as well as of a variety of benign breast tissue proliferative lesions. In this paper, we propose a practical and…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Xingyu Li , Marko Radulovic , Ksenija Kanjer , Konstantinos N. Plataniotis

Breast cancer is one of the leading causes of death across the world in women. Early diagnosis of this type of cancer is critical for treatment and patient care. Computer-aided detection (CAD) systems using convolutional neural networks…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Accurate identification of breast cancer types plays a critical role in guiding treatment decisions and improving patient outcomes. This paper presents an artificial intelligence enabled tool designed to aid in the identification of breast…

Image and Video Processing · Electrical Eng. & Systems 2025-05-28 Neil Chaudhary , Zaynah Dhunny

Breast cancer is the most commonly diagnosed cancer and registers the highest number of deaths for women with cancer. Recent advancements in diagnostic activities combined with large-scale screening policies have significantly lowered the…

Breast cancer is one of the leading causes of death for women worldwide. Early screening is essential for early identification, but the chance of survival declines as the cancer progresses into advanced stages. For this study, the most…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Fahad Ahmed , Reem Abdel-Salam , Leon Hamnett , Mary Adewunmi , Temitope Ayano

Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast cancer not only requires professionals and time, but also…

Image and Video Processing · Electrical Eng. & Systems 2024-04-15 MingXuan Xiao , Yufeng Li , Xu Yan , Min Gao , Weimin Wang
‹ Prev 1 2 3 10 Next ›