A comprehensive review on multi-organs tumor detection based on machine learning

MI Sharif, JP Li, J Naz, I Rashid - Pattern Recognition Letters, 2020 - Elsevier
Tumor is comprised of abnormally growing regions that is dangerous for human survival.
Therefore, early stage tumor detection is useful for increase of survival rate although it is …

A comprehensive survey on quantum machine learning and possible applications

MJ Umer, MI Sharif - International Journal of E-Health and Medical …, 2022 - igi-global.com
Abstract Machine learning is a branch of artificial intelligence that is being used at a large
scale to solve science, engineering, and medical tasks. Quantum computing is an emerging …

An improved deep learning approach and its applications on colonic polyp images detection

W Wang, J Tian, C Zhang, Y Luo, X Wang, J Li - BMC Medical Imaging, 2020 - Springer
Background Colonic polyps are more likely to be cancerous, especially those with large
diameter, large number and atypical hyperplasia. If colonic polyps cannot be treated in early …

Removal of pectoral muscle based on topographic map and shape-shifting silhouette

B Mughal, N Muhammad, M Sharif, A Rehman, T Saba - BMC cancer, 2018 - Springer
Background In digital mammography, finding accurate breast profile segmentation of
women's mammogram is considered a challenging task. The existence of the pectoral …

A novel classification scheme to decline the mortality rate among women due to breast tumor

B Mughal, M Sharif, N Muhammad… - … research and technique, 2018 - Wiley Online Library
Early screening of skeptical masses or breast carcinomas in mammograms is supposed to
decline the mortality rate among women. This amount can be decreased more on …

3D automatic levels propagation approach to breast MRI tumor segmentation

F Bouchebbah, H Slimani - Expert Systems with Applications, 2021 - Elsevier
Abstract Magnetic Resonance Imaging MRI is a relevant tool for breast cancer screening.
Moreover, an accurate 3D segmentation of breast tumors from MRI scans plays a key role in …

Self-supervised visual transformers for breast cancer diagnosis

N Saidnassim, B Abdikenov… - 2021 Asia-Pacific …, 2021 - ieeexplore.ieee.org
Owing to the growing incidences, breast cancer is considered the world's most prevalent
cancer both in terms of morbidity and mortality rates. While breast cancer treatment is quite …

The identification of the unloaded configuration of breast tissue with unknown non-homogenous stiffness parameters using surface measured data in deformed …

M Hajhashemkhani, MR Hematiyan - Computers in biology and medicine, 2021 - Elsevier
Large deformation analysis of the breast is known as a useful approach for locating the
tumor and treatment strategies of breast cancer, for which knowing the breast stiffness …

IMCAD: computer aided system for breast masses detection based on immune recognition

L Belkhodja, D Hamdadou - IJIMAI, 2019 - dialnet.unirioja.es
Resumen Computer Aided Detection (CAD) systems are very important tools which help
radiologists as a second reader in detecting early breast cancer in an efficient way, specially …

Attributes, performance, and gaps in current & emerging breast cancer screening technologies

HM Ismail, CG Pretty, MK Signal… - Current Medical …, 2019 - ingentaconnect.com
Background: Early detection of breast cancer, combined with effective treatment, can reduce
mortality. Millions of women are diagnosed with breast cancer and many die every year …