Remote computer-aided breast cancer detection and diagnosis system based on cytological images

YM George, HH Zayed, MI Roushdy… - IEEE Systems …, 2013 - ieeexplore.ieee.org
The purpose of this study is to develop an intelligent remote detection and diagnosis system
for breast cancer based on cytological images. First, this paper presents a fully automated …

Automated breast cancer diagnosis based on GVF-snake segmentation, wavelet features extraction and fuzzy classification

J Malek, A Sebri, S Mabrouk, K Torki… - Journal of Signal …, 2009 - Springer
The automatic diagnosis of breast cancer (BC) is an important, real-world medical problem.
This paper proposes a design of automated detection, segmentation, and classification of …

An e-Health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application

SU Khan, N Islam, Z Jan, IU Din, A Khan… - Future Generation …, 2019 - Elsevier
One of the primary causes of mortality among women aged 20–59 worldwide is breast
cancer. Early detection and getting proper treatment can reduce the rate of morbidity of …

Cloud‐based decision support system for the detection and classification of malignant cells in breast cancer using breast cytology images

T Saba, SU Khan, N Islam, N Abbas… - Microscopy research …, 2019 - Wiley Online Library
The advancement of computer‐and internet‐based technologies has transformed the nature
of services in healthcare by using mobile devices in conjunction with cloud computing. The …

Detection of breast cancer using histopathological image classification dataset with deep learning techniques

VK Reshma, N Arya, SS Ahmad, I Wattar… - BioMed Research …, 2022 - Wiley Online Library
Cancer is one of the top causes of mortality, and it arises when cells in the body grow
abnormally, like in the case of breast cancer. For people all around the world, it has now …

Computational technique based on machine learning and image processing for medical image analysis of breast cancer diagnosis

VDP Jasti, AS Zamani, K Arumugam… - Security and …, 2022 - Wiley Online Library
Breast cancer is the most lethal type of cancer for all women worldwide. At the moment,
there are no effective techniques for preventing or curing breast cancer, as the source of the …

Computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies

P Filipczuk, T Fevens, A Krzyżak… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The effectiveness of the treatment of breast cancer depends on its timely detection. An early
step in the diagnosis is the cytological examination of breast material obtained directly from …

Deep learning and optimization algorithms for automatic breast cancer detection

Z Sha, L Hu, BD Rouyendegh - International Journal of Imaging …, 2020 - Wiley Online Library
Breast cancer is caused by the abnormal and rapid growth of breast cells. An early
diagnosis can ensure an easier and effective treatment. A mass in the breast is a significant …

Breast cancer classification in pathological images based on hybrid features

C Yu, H Chen, Y Li, Y Peng, J Li, F Yang - Multimedia Tools and …, 2019 - Springer
Breast cancer has become an important factor affecting human health. Diagnosis based on
pathological images is considered the gold standard in the clinic. In this paper, an automatic …

Early detection of breast cancer using machine learning techniques

M Tahmooresi, A Afshar, BB Rad… - Journal of …, 2018 - jtec.utem.edu.my
Cancer is the second cause of death in the world. 8.8 million patients died due to cancer in
2015. Breast cancer is the leading cause of death among women. Several types of research …