Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning
R Ramakrishnan, MA Mohammed… - 2023 14th …, 2023 - ieeexplore.ieee.org
There are now a variety of intriguing options for the study of genetic data thanks to recent
developments in artificial neural networks and deep learning. In this study, we use a deep …
developments in artificial neural networks and deep learning. In this study, we use a deep …
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images
Brain tumor is the 10th major cause of death among humans. The detection of brain tumor is
a significant process in the medical field. Therefore, the objective of this research work is to …
a significant process in the medical field. Therefore, the objective of this research work is to …
Diagnosis of leukemia disease through deep learning using microscopic images
The abnormal production of WBC (white blood cell) in the bone marrow is known as
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …
Deep learning for pneumonia diagnosis using cxr images
A Ijaz, S Akbar, B AlGhofaily… - … Conference of Women …, 2023 - ieeexplore.ieee.org
Pneumonia is a life-threatening infection that affects the lungs caused by bacterial or virus
attacks. It fills the air sacs of the lungs with pus or fluid. The factors that cause pneumonia …
attacks. It fills the air sacs of the lungs with pus or fluid. The factors that cause pneumonia …
[HTML][HTML] Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention …
A Alqarafi, AA Khan, RK Mahendran… - … Signal Processing and …, 2024 - Elsevier
Melanoma skin cancer, an aggressive neoplasm arising from the malignant proliferation of
melanocytes, represents a formidable challenge in the field of oncology due to its high …
melanocytes, represents a formidable challenge in the field of oncology due to its high …
Advancing skin cancer research with machine learning and deep learning models: A systematic review
S Gasmi, A Djebbar, HFD Merouani… - Journal of Pakistan …, 2024 - jpad.com.pk
Background The global impact of skin cancer has underscored the urgency of accurate and
timely detection for effective treatment. In recent years, the medical research landscape has …
timely detection for effective treatment. In recent years, the medical research landscape has …
Detection of liver cancer through computed tomography images using deep convolutional neural networks
Liver cancer is the fifth most common type of tumor in men and the ninth most common type
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …
Automated hybrid model for detection and classification of brain tumor
Detection of brain tumors remains a critical challenge in the medical field. However, early
brain tumor detection improves treatment options and enhances the likelihood of survival …
brain tumor detection improves treatment options and enhances the likelihood of survival …
Automatic Detection of Leukemia through Convolutional Neural Network
Leukemia is a fatal cancer disease that develops in blood-forming tissue by the excessive
development of white blood cells (WBCs) in the human body. However, a bone marrow test …
development of white blood cells (WBCs) in the human body. However, a bone marrow test …