Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
M Botlagunta, MD Botlagunta, MB Myneni… - Scientific Reports, 2023 - nature.com
Abstract Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related
deaths in women. Despite several limitations, histopathological information about the …
deaths in women. Despite several limitations, histopathological information about the …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
Optimized stacking ensemble learning model for breast cancer detection and classification using machine learning
Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
Framework for detecting breast cancer risk presence using deep learning
Cancer is a complicated global health concern with a significant fatality rate. Breast cancer is
among the leading causes of mortality each year. Advancements in prognoses have been …
among the leading causes of mortality each year. Advancements in prognoses have been …
A two-stage feature selection approach using hybrid quasi-opposition self-adaptive coati optimization algorithm for breast cancer classification
K Thirumoorthy - Applied Soft Computing, 2023 - Elsevier
Breast cancer (BC) is one of the leading causes of high mortality rates among women. An
early disease diagnosis is crucial in breast cancer's treatment for improving the survival rate …
early disease diagnosis is crucial in breast cancer's treatment for improving the survival rate …
Two-stage imbalanced learning-based quality prediction method for wheel hub assembly
Wheel hub assembly plays a pivotal role in automobile manufacturing, and its quality directly
affects the overall reliability of the automobile transmission system. Accurate prediction of …
affects the overall reliability of the automobile transmission system. Accurate prediction of …
Chemical profiling of volatile compounds of the essential oil of grey-leaved rockrose (Cistus albidus L.) and its antioxidant, anti-inflammatory, antibacterial, antifungal, and anticancer activity …
Cistus albidus: L., also known as Grey-leaved rockrose and locally addressed as šṭab or
tûzzâla lbîḍa, is a plant species with a well-established reputation for its health-promoting …
tûzzâla lbîḍa, is a plant species with a well-established reputation for its health-promoting …
Enhancing breast cancer detection and classification using advanced multi-model features and ensemble machine learning techniques
Breast cancer (BC) is the most common cancer among women, making it essential to have
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
Retinal nerve fiber layer analysis using deep learning to improve glaucoma detection in eye disease assessment
Recently, the development of a rapid detection approach for glaucoma has been widely
proposed to assist medical personnel in detecting glaucoma disease thanks to the …
proposed to assist medical personnel in detecting glaucoma disease thanks to the …