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 …
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
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 …
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network
Predicting the chances of various types of cancers for different organs in the human body is
a typical decision-making process in medicine and health. The signaling pathways have …
a typical decision-making process in medicine and health. The signaling pathways have …
Innovative Neuroimaging Biomarker Distinction of Major Depressive Disorder and Bipolar Disorder through Structural Connectome Analysis and Machine Learning …
Y Huang, J Zhang, K He, X Mo, R Yu, J Min, T Zhu… - Diagnostics, 2024 - mdpi.com
Major depressive disorder (MDD) and bipolar disorder (BD) share clinical features, which
complicates their differentiation in clinical settings. This study proposes an innovative …
complicates their differentiation in clinical settings. This study proposes an innovative …
Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers
Cancer remains a formidable global health challenge, claiming millions of lives annually.
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
Timely and accurate cancer diagnosis is imperative. While numerous reviews have explored …
Classification of 2D Ultrasound Breast Cancer Images with Deep Learning
J Ellis, K Appiah… - Proceedings of the …, 2024 - openaccess.thecvf.com
Breast cancer is the second most prevalent form of cancer and is the" leading cause of most
cancer-related deaths in women". Most women living in low-and middle-income countries …
cancer-related deaths in women". Most women living in low-and middle-income countries …
[HTML][HTML] Radiomics and machine learning based on preoperative MRI for predicting extrahepatic metastasis in hepatocellular carcinoma patients treated with …
G Peng, X Cao, X Huang, X Zhou - European Journal of Radiology Open, 2024 - Elsevier
Purpose To develop and validate a radiomics machine learning (Rad-ML) model based on
preoperative MRI to predict extrahepatic metastasis (EHM) in hepatocellular carcinoma …
preoperative MRI to predict extrahepatic metastasis (EHM) in hepatocellular carcinoma …
Bibliometric analysis of the global scientific production on machine learning applied to different cancer types
Cancer disease is one of the main causes of death in the world, with million annual cases in
the last decades. The need to find a cure has stimulated the search for efficient treatments …
the last decades. The need to find a cure has stimulated the search for efficient treatments …