Results 11 to 20 of about 5,397,815 (312)

Ensemble machine learning on gene expression data for cancer classification [PDF]

, 2003
Whole genome RNA expression studies permit systematic approaches to understanding the correlation between gene expression profiles to disease states or different developmental stages of a cell.
Tan, A C, Gilbert, D
core   +6 more sources

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

HMGA1 in cancer: Cancer classification by location [PDF]

Journal of Cellular and Molecular Medicine, 2019
AbstractThe high mobility group A1 (HMGA1) gene plays an important role in numerous malignant cancers. HMGA1 is an oncofoetal gene, and we have a certain understanding of the biological function of HMGA1 based on its activities in various neoplasms.
Yuhong Wang, Lin Hu, Yushuang Zheng, Lingchuan Guo   +3 more
openaire   +2 more sources

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

Cancer Classification at the Crossroads [PDF]

Cancers, 2020
Internationally accepted classifications of malignant tumors, developed by the World Health Organization (WHO) and the Union for International Cancer Control (UICC), are based on the histotype, site of origin, morphologic grade, and spread of cancer throughout the body.
openaire   +2 more sources

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

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

A Novel Electrochemical Differentiation between Exosomal-RNA of Breast Cancer MCF7 and MCF7/ADR-Resistant Cells

Pharmaceuticals, 2023
Cancer is considered one of the most burdensome diseases affecting lives and, hence, the economy. Breast cancer is one of the most common types of cancer.
Mohammed H. Abdelaziz, Ehab N. El Sawy, Anwar Abdelnaser   +2 more
doaj   +1 more source

Application and Performance of Artificial Intelligence (AI) in Oral Cancer Diagnosis and Prediction Using Histopathological Images: A Systematic Review

Biomedicines, 2023
Oral cancer (OC) is one of the most common forms of head and neck cancer and continues to have the lowest survival rates worldwide, even with advancements in research and therapy.
Sanjeev B. Khanagar, Lubna Alkadi, Maryam A. Alghilan, Sara Kalagi, Mohammed Awawdeh, Lalitytha Kumar Bijai, Satish Vishwanathaiah, Ali Aldhebaib, Oinam Gokulchandra Singh   +8 more
doaj   +1 more source

The consensus Immunoscore in phase 3 clinical trial (N0147) and impact on patient management decisions

OncoImmunology, 2020
The consensus Immunoscore is a routine assay quantifying the adaptive immune response within the tumor microenvironment. It has a prognostic value that has been confirmed in a phase 3 clinical trial (NCCTG N0147) in stage III colon cancers.
Anastasia Lanzi, F. A. Sinicrope, A. B. Benson, Jérôme Galon   +3 more
doaj   +1 more source