[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
Cancer diagnosis using artificial intelligence: a review
Artificial intelligence (AI) is the usage of scientific techniques to simulate human intellectual
skills and to tackle complex medical issues involving complicated genetic defects such as …
skills and to tackle complex medical issues involving complicated genetic defects such as …
Fuzzy C-means and region growing based classification of tumor from mammograms using hybrid texture feature
Identifying abnormality using breast mammography is a challenging task for radiologists due
to its nature. A more consistent and precise imaging based CAD system plays a vital role in …
to its nature. A more consistent and precise imaging based CAD system plays a vital role in …
Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)
Ultrasound imaging (US) is one of the most common diagnostic imaging tools for producing
images of the human body in clinical practice. This work is devoted to studying ultrasound …
images of the human body in clinical practice. This work is devoted to studying ultrasound …
An optimized ensemble classifier for mammographic mass classification
Breast cancer is one of the most common cause of deaths among women due to cancer. A
computer-assisted prognosis and diagnosis of breast cancer, which effectively reduces the …
computer-assisted prognosis and diagnosis of breast cancer, which effectively reduces the …
Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges
F Tajidini, MJ Kheiri - arxiv preprint arxiv:2308.01319, 2023 - arxiv.org
Computer-aided diagnosis (CAD), a vibrant medical imaging research field, is expanding
quickly. Because errors in medical diagnostic systems might lead to seriously misleading …
quickly. Because errors in medical diagnostic systems might lead to seriously misleading …
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system
For decades, breast cancer is the leading cause of cancer-related deaths among women.
Early detection and diagnosis of breast cancer can effectively reduce the mortality rate …
Early detection and diagnosis of breast cancer can effectively reduce the mortality rate …
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection
Breast cancer is a grave concern among women due to its high mortality rate in women as
compared to that in men. Mass, an early symptom of breast cancer, is difficult to detect due to …
compared to that in men. Mass, an early symptom of breast cancer, is difficult to detect due to …
Improving mass discrimination in mammogram-CAD system using texture information and super-resolution reconstruction
Screening helps to reduce mortality in the breast cancers. Mammography is a screening
procedure used to detect breast cancer at an early stage. Computer-aided detection (CAD) …
procedure used to detect breast cancer at an early stage. Computer-aided detection (CAD) …
Detection and classification of the breast abnormalities in Digital Mammograms via Linear Support Vector Machine
A Nedra, M Shoaib, S Gattoufi - 2018 IEEE 4th Middle East …, 2018 - ieeexplore.ieee.org
This paper presents an approach to detect tumors in mammogram images. Early detection of
breast cancer is key to scheming extremely good treatment strategies. The objective of this …
breast cancer is key to scheming extremely good treatment strategies. The objective of this …