Results 21 to 30 of about 8,124,451 (335)

Staging of Skin Cancer Based on Hyperspectral Microscopic Imaging and Machine Learning

Biosensors, 2022
Skin cancer, a common type of cancer, is generally divided into basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and malignant melanoma (MM). The incidence of skin cancer has continued to increase worldwide in recent years.
Lixin Liu, Meijie Qi, Yanru Li, Yujie Liu, Xing Liu, Zhoufeng Zhang, Junle Qu   +6 more
doaj   +1 more source

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion

Italian National Conference on Sensors, 2022
After lung cancer, breast cancer is the second leading cause of death in women. If breast cancer is detected early, mortality rates in women can be reduced.
Kiran Jabeen, M. A. Khan, Majed Alhaisoni, U. Tariq, Yudong Zhang, A. Hamza, A. Mickus, R. Damaševičius   +7 more
semanticscholar   +1 more source

OPTIMIZING ULTRASOUND IMAGE CLASSIFICATION THROUGH TRANSFER LEARNING: FINE-TUNING STRATEGIES AND CLASSIFIER IMPACT ON PRE-TRAINED INNER-LAYERS

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023
Transfer Learning (TL) is a popular deep learning technique used in medical image analysis, especially when data is limited. It leverages pre-trained knowledge from State-Of-The-Art (SOTA) models and applies it to specific applications through Fine ...
Mohamed Bal-Ghaoui, My Hachem El Yousfi Alaoui, Abdelilah Jilbab, Abdennaser Bourouhou   +3 more
doaj   +1 more source

DeepSkin: A Deep Learning Approach for Skin Cancer Classification

IEEE Access, 2023
Skin cancer is one of the most rapidly spreading illnesses in the world and because of the limited resources available. Early detection of skin cancer is crucial accurate diagnosis of skin cancer identification for preventive approach in general ...
H. L. Gururaj, N. Manju, A. Nagarjun, V. N. Manjunath Aradhya, Francesco Flammini   +4 more
semanticscholar   +1 more source

Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification [PDF]

Medical and Biological Engineering and Computing, 2021
Microarray gene expression data are often accompanied by a large number of genes and a small number of samples. However, only a few of these genes are relevant to cancer, resulting in significant gene selection challenges.
Xiongshi Deng, Min Li, Shaobo Deng, Lei Wang   +3 more
semanticscholar   +1 more source

Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

Comput. Methods Programs Biomed., 2022
BACKGROUND AND OBJECTIVE  Many developed and non-developed countries worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in females increases daily, partially due to unawareness and undiagnosed at the early ...
Hanan Aljuaid, Nazik Alturki, Najah Alsubaie, Luciana Cavallaro, A. Liotta   +4 more
semanticscholar   +1 more source

A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification

Applied Sciences, 2021
Prevention of cervical cancer could be performed using Pap smear image analysis. This test screens pre-neoplastic changes in the cervical epithelial cells; accurate screening can reduce deaths caused by the disease.
Débora N. Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Claudia M. Carneiro, Daniela M. Ushizima, Fátima N. S. de Medeiros, Marcone J. F. Souza   +6 more
doaj   +1 more source

A Novel Vision Transformer Model for Skin Cancer Classification

Neural Processing Letters, 2023
Skin cancer can be fatal if it is found to be malignant. Modern diagnosis of skin cancer heavily relies on visual inspection through clinical screening, dermoscopy, or histopathological examinations.
Guang Yang, S. Luo, Peter Greer
semanticscholar   +1 more source

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data [PDF]

Briefings Bioinform., 2021
The lack of explainability is one of the most prominent disadvantages of deep learning applications in omics. This ‘black box’ problem can undermine the credibility and limit the practical implementation of biomedical deep learning models.
Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo   +3 more
semanticscholar   +1 more source

Classification of Parathyroid Cancer

Annals of Surgical Oncology, 2012
Parathyroid cancer is rare and often has a poor outcome. There is no classification system that permits prediction of outcome in patients with parathyroid cancer. This study was designed to validate two prognostic classification systems developed by Talat and Schulte in 2010 ("Clinical Presentation, Staging and Long-term Evolution of Parathyroid Cancer,
Schulte, K, Gill, Aj, Barczynski, M, Karakas, E, Miyauchi, A, Knoefel, Wt, Lombardi, Celestino Pio, Talat, N, Diaz Cano, S, Grant, Cs   +9 more
openaire   +4 more sources